532 Prompt Engineer jobs in the United States
ML / Prompt Engineer
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Direct message the job poster from YASH Technologies Account Manager / Lead Technical Resource Specialist Hi We are looking for a Principal Developer – ML/Prompt Engineer for a 6+ month onsite project in Boston, MA Experience : 9+ years Technologies: Amazon Bedrock, RAG Models, Java, Python, C or C++, AWS Lambda, Responsibilities: Responsible for developing, deploying, and maintaining a Retrieval Augmented Generation (RAG) model in Amazon Bedrock, our cloud-based platform for building and scaling generative AI applications. Design and implement a RAG model that can generate natural language responses, commands, and actions based on user queries and context, using the Anthropic Claude model as the backbone. Integrate the RAG model with Amazon Bedrock, our platform that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Optimize the RAG model for performance, scalability, and reliability, using best practices and robust engineering methodologies. Design, test, and optimize prompts to improve performance, accuracy, and alignment of large language models across diverse use cases. Develop and maintain reusable prompt templates, chains, and libraries to support scalable and consistent GenAI applications. Skills/Qualifications: Experience in programming with at least one software language, such as Java, Python, or C/C++. Experience in working with generative AI tools, models, and frameworks, such as Anthropic, OpenAI, Hugging Face, TensorFlow, PyTorch, or Jupyter. Experience in working with RAG models or similar architectures, such as RAG, Ragna, or Pinecone. Experience in working with Amazon Bedrock or similar platforms, such as AWS Lambda, Amazon SageMaker, or Amazon Comprehend. Ability to design, iterate, and optimize prompts for various LLM use cases (e.g., summarization, classification, translation, Q&A, and agent workflows). Deep understanding of prompt engineering techniques (zero-shot, few-shot, chain-of-thought, etc.) and their effect on model behavior. Familiarity with prompt evaluation strategies, including manual review, automatic metrics, and A/B testing frameworks. Experience building prompt libraries, reusable templates, and structured prompt workflows for scalable GenAI applications. Ability to debug and refine prompts to improve accuracy, safety, and alignment with business objectives. Awareness of prompt injection risks and experience implementing mitigation strategies. Familiarity with prompt tuning, parameter-efficient fine-tuning (PEFT), and prompt chaining methods. Familiarity with continuous deployment and DevOps tools preferred. Experience with Git preferred Experience working in agile/scrum environments Successful track record interfacing and communicating effectively across cross-functional teams. Good communication, analytical and presentation skills, problem-solving skills and learning attitude. Thanks Guru Yash Technologies Inc Seniority level Seniority level Mid-Senior level Employment type Employment type Contract Job function Job function Consulting Industries IT Services and IT Consulting Referrals increase your chances of interviewing at YASH Technologies by 2x Get notified about new Prompt Engineer jobs in Boston, MA . Technical Support Engineer - Tier 1 - Central Time Zone Software Engineer - AI Developer Experience Boston, MA $110,000.00-$50,000.00 3 days ago Senior Software Engineer (Device42 - Support) Project Engineer II - Manufacturing Exp Required Norwood, MA 88,000.00- 115,000.00 11 months ago Sr. Safety Support Engineer, Robotics Safety Engineering Sr. Safety Support Engineer, Robotics Safety Engineering Software Development Engineer (ML), AGI Customization W2 Role | Machine Learning/Prompt Engineer Software Development Engineer (ML), AGI Customization Large Enterprise Solution Engineer - GEO Software Development Engineer (ML), AGI Customization Software Development Engineer (ML), AGI Customization Software Development Engineer (ML), AGI Customization Norwood, MA 88,000.00- 115,000.00 11 months ago Delivery Consultant - Machine Learning Engineer, AWS Professional Services, AWS Professional Services Delivery Consultant - Machine Learning Engineer, AWS Professional Services, AWS Professional Services We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Editorial Prompt Engineer
Posted 1 day ago
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At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
This role will be based in New York or San Francisco.
LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can.
LinkedIn is seeking a thoughtful, creative prompt engineer with strong editorial judgment to join our Editorial AI team. This team sits at the intersection of LinkedIn News and LinkedIn Learning, exploring how generative AI can improve editorial workflows, develop innovative member-facing products and power the future of learning on LinkedIn.
The ideal candidate will possess experience in journalism, content strategy, or linguistics, along with a strong interest or experience working in machine learning, coding and/or data analysis. They will be adept at working cross-functionally; experience working with product managers and engineers is a plus.
The role involves drafting and testing editorial and learning-focused generative AI prompts to power a wide range of initiatives across LinkedIn. The role will require creative thinking, collaborative problem solving and a keen interest in exploring how to build new tools and solve different editorial challenges using generative AI. Coding experience, particularly with Python, is a plus.
You will also be a nimble operator, able to juggle multiple projects and deadlines at once. The ideal candidate will be cool-headed under pressure and comfortable working on projects that may involve ambiguity and no single, immediate solution.
**Responsibilities**
+ Drafting and testing generative AI prompts to power editorial and learning products at LinkedIn
+ Evaluating the quality of outputs of prompts developed by the Editorial AI team and cross-functional partners
+ Workshopping prompt drafts and offering feedback to other members of the Editorial AI team
+ Developing new ideas and solutions to solve generative AI challenges
+ Keeping up to date on the latest trends and techniques in prompt engineering and generative AI
+ Collaborating with cross-functional partners (engineers, product managers, designers) and other members of the LinkedIn editorial and LinkedIn Learning teams
+ Working on several projects at once, occasionally on tight deadlines.
+ Training other editors and partners in the basics of prompt engineering.
**Basic Qualifications**
+ 3+ years experience in journalism, editorial, content strategy or similar role
+ Writing and editorial skills with excellent attention to detail
+ Experience working with generative AI tools (e.g., ChatGPT, Claude, etc.)
**Preferred Qualifications**
+ Proficiency in Python (especially for prompt iteration, evaluation or data analysis).
+ Demonstrated interest in AI/ML and/or natural language processing.
+ Understanding of key prompt engineering/LLM concepts (few-shot prompting, model fine-tuning, etc.).
+ Familiarity with SQL, Jupyter and/or Git.
+ Experience working cross-functionally with technical teams.
+ Outstanding verbal communication skills and strong analytical capabilities.
+ Comfortable working in ambiguous environments and iterating quickly.
+ Exemplary editorial judgment.
+ Eagerness for experimentation and creative problem solving.
+ Passion for learning new technologies and tools.
+ Ability to see other people's points of view and welcome constructive feedback.
**Suggested Skills**
+ Strong editorial judgment
+ Creative problem solving
+ Cross-functional collaboration
+ Prompt engineering
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $97,000 to $156,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit Opportunity Statement**
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
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A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
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Lead Prompt Engineer
Posted 5 days ago
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Job Description
LOVE. It's what makes Subaru, Subaru®. As a leading auto brand in the US, we strive to be More Than a Car Company®. Subaru believes in being a positive force in the communities in which we live and work, not just with donations but with actions that set an example for others to follow. That's what we call our Subaru Love Promise®.
Subaru is a globally renowned automobile manufacturer known for its commitment to innovation, safety, and sustainability. With a rich history dating back to 1953, Subaru has consistently pushed the boundaries of automotive engineering to deliver vehicles that offer not only exceptional performance but also a unique blend of utility and adventure.
Subaru's company culture is built on collaboration, diversity, and a shared passion for our product. We foster an inclusive environment that encourages employees to bring their unique perspectives and talents to the table. Our team members are driven by a common goal: to create exceptional vehicles that inspire and delight our customers.
SUMMARY
Improves Subaru of America's (SOA's) DevOps processes, including but not limited to, requirements gathering, documentation, code generation, and automated test creation. Helps shape the tooling and frameworks used across the Information Technology (IT) department and ensures seamless integration with multiple development teams and third-party resources. Uses hands-on experience working with multiple Large Language Models (LLMs).
MAJOR RESPONSIBILITIES
- DevOps Process Improvement: Enhances and streamlines DevOps processes, focusing on requirements, documentation, code, and automated test creation.
- Tool and Framework Development: Assists in defining and developing the tools and frameworks used across the department to enhance efficiency and collaboration.
- Collaboration: Works closely with multiple development teams and third-party resources to ensure cohesive and efficient workflows.
- Large Language Model (LLM) Utilization: Leverages experience with multiple LLMs to improve various aspects of software development and deployment.
- Documentation: Creates, maintains, and improves documentation for DevOps processes and tools.
Testing: Develops and implements automated tests to ensure the quality and reliability of software applications. - Prompt Design & Development: Creates, tests, and refines prompts to guide generative artificial intelligence (GenAI) models in generating accurate and relevant responses. Develops strategies to confine model outputs to meet specific objectives and desired outcomes.
- Research and Innovation: Stays up to date with the latest advancements in GenAI and prompt engineering techniques. Experiments with new approaches and technologies to enhance the capabilities of our AI models.
REQUIRED SKILLS AND PERSONAL QUALIFICATIONS
- Experience with other cloud platforms and DevOps tools.
- Knowledge of modern software development practices and methodologies.
- Familiarity with machine learning and artificial intelligence concepts.
- Technical Stack Exposure: Experience with Microsoft Azure and GitHub Copilot
- DevOps Knowledge: Strong understanding of DevOps processes and tools, with a proven track record of improving and streamlining these processes.
- Hands-on experience working with multiple Large Language Models (LLMs)
EDUCATION/EXPERIENCE REQUIREMENTS: BA/BS degree and 4-6 years of relevant experience. At least 2-4 years of experience accepted working with LLMs in the context of the software development lifecycle.
WORK ENVIRONMENT
- Hybrid Role : Remote work 2 days per week (After 90 Days Onboarding)
- Travel Required : 5%
COMPENSATION: The recruiting base salary range for this full-time position is $102,700 - 150,000 / year. Within the range, individual pay is determined by factors, including job-related skills, experience, and relevant education or training. (Internal Job Grade: P3T) In addition to competitive salary, Subaru offers an amazing benefits package that includes:
- Medical, Dental, Vision Plans
- Pension, Profit Sharing, and 401K Match Offerings
- 15 Vacation days, 9 Company Holidays, 5 Floating Holidays, and 5 Sick days.
- Tuition Reimbursement Program
- Vehicle Discount Programs
- Visit our Careers landing page for additional information about our compensation and benefit programs.
Prompt Engineer (San Francisco)
Posted today
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Job Description
LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Their products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. They are committed to providing transformational opportunities for their employees by investing in their growth and aspire to create a culture built on trust, care, inclusion, and fun. LinkedIn utilizes a hybrid work model, combining remote work with in-office collaboration on select days.
Job Description:
LinkedIn is seeking a thoughtful and creative Prompt Engineer to join their Editorial AI team . This team is at the intersection of LinkedIn News and LinkedIn Learning, exploring how generative AI can improve editorial workflows, develop innovative member-facing products, and power the future of learning on LinkedIn.
This role is based in New York or San Francisco.
The ideal candidate will have experience in journalism, content strategy, or linguistics, along with a strong interest in or experience working in machine learning, coding, and/or data analysis . Experience working with product managers and engineers is a plus.
The role involves drafting and testing editorial and learning-focused generative AI prompts to power a wide range of initiatives across LinkedIn. It requires creative thinking, collaborative problem-solving, and a keen interest in exploring how to build new tools and solve different editorial challenges using generative AI. Coding experience, particularly with Python, is a plus.
The Prompt Engineer will be responsible for:
Drafting and testing generative AI prompts to power editorial and learning products at LinkedIn.
Evaluating the quality of outputs of prompts developed by the Editorial AI team and cross-functional partners.
Workshopping prompt drafts and offering feedback to other members of the Editorial AI team.
Developing new ideas and solutions to solve generative AI challenges.
Staying up to date on the latest trends and techniques in prompt engineering and generative AI.
Collaborating with cross-functional partners (engineers, product managers, designers) and other members of the LinkedIn editorial and LinkedIn Learning teams.
Managing multiple projects at once , occasionally on tight deadlines.
Training other editors and partners in the basics of prompt engineering.
Qualifications:
Basic Qualifications:
3+ years experience in journalism, editorial, content strategy or similar role
Writing and editorial skills with excellent attention to detail
Experience working with generative AI tools (e.g., ChatGPT, Claude, etc.)
Preferred Qualifications:
Proficiency in Python (especially for prompt iteration, evaluation or data analysis).
Demonstrated interest in AI/ML and/or natural language processing.
Understanding of key prompt engineering/LLM concepts (few-shot prompting, model fine-tuning, etc.).
Familiarity with SQL, Jupyter and/or Git.
Experience working cross-functionally with technical teams.
Outstanding verbal communication skills and strong analytical capabilities.
Comfortable working in ambiguous environments and iterating quickly.
Exemplary editorial judgment.
Eagerness for experimentation and creative problem solving.
Passion for learning new technologies and tools.
Ability to see other peoples points of view and welcome constructive feedback.
Suggested Skills:
The pay range for this role is $97,000 to $156,000.
Making job hunting smarter, faster, and way more fun. Our AI-powered, mobile-first platform connects students and early-career pros with real opportunities that match their skills and goals. With gamified skill validation, personalized career paths, and smart matching, were not just helping you land a jobwere setting you up for a career youll actually love.
#J-18808-LjbffrPrompt Engineer (New York)
Posted today
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Job Description
LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Their products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. They are committed to providing transformational opportunities for their employees by investing in their growth and aspire to create a culture built on trust, care, inclusion, and fun. LinkedIn utilizes a hybrid work model, combining remote work with in-office collaboration on select days.
Job Description:
LinkedIn is seeking a thoughtful and creative Prompt Engineer to join their Editorial AI team . This team is at the intersection of LinkedIn News and LinkedIn Learning, exploring how generative AI can improve editorial workflows, develop innovative member-facing products, and power the future of learning on LinkedIn.
This role is based in New York or San Francisco.
The ideal candidate will have experience in journalism, content strategy, or linguistics, along with a strong interest in or experience working in machine learning, coding, and/or data analysis . Experience working with product managers and engineers is a plus.
The role involves drafting and testing editorial and learning-focused generative AI prompts to power a wide range of initiatives across LinkedIn. It requires creative thinking, collaborative problem-solving, and a keen interest in exploring how to build new tools and solve different editorial challenges using generative AI. Coding experience, particularly with Python, is a plus.
The Prompt Engineer will be responsible for:
Drafting and testing generative AI prompts to power editorial and learning products at LinkedIn.
Evaluating the quality of outputs of prompts developed by the Editorial AI team and cross-functional partners.
Workshopping prompt drafts and offering feedback to other members of the Editorial AI team.
Developing new ideas and solutions to solve generative AI challenges.
Staying up to date on the latest trends and techniques in prompt engineering and generative AI.
Collaborating with cross-functional partners (engineers, product managers, designers) and other members of the LinkedIn editorial and LinkedIn Learning teams.
Managing multiple projects at once , occasionally on tight deadlines.
Training other editors and partners in the basics of prompt engineering.
Qualifications:
Basic Qualifications:
3+ years experience in journalism, editorial, content strategy or similar role
Writing and editorial skills with excellent attention to detail
Experience working with generative AI tools (e.g., ChatGPT, Claude, etc.)
Preferred Qualifications:
Proficiency in Python (especially for prompt iteration, evaluation or data analysis).
Demonstrated interest in AI/ML and/or natural language processing.
Understanding of key prompt engineering/LLM concepts (few-shot prompting, model fine-tuning, etc.).
Familiarity with SQL, Jupyter and/or Git.
Experience working cross-functionally with technical teams.
Outstanding verbal communication skills and strong analytical capabilities.
Comfortable working in ambiguous environments and iterating quickly.
Exemplary editorial judgment.
Eagerness for experimentation and creative problem solving.
Passion for learning new technologies and tools.
Ability to see other peoples points of view and welcome constructive feedback.
Suggested Skills:
The pay range for this role is $97,000 to $156,000.
Making job hunting smarter, faster, and way more fun. Our AI-powered, mobile-first platform connects students and early-career pros with real opportunities that match their skills and goals. With gamified skill validation, personalized career paths, and smart matching, were not just helping you land a jobwere setting you up for a career youll actually love.
#J-18808-LjbffrPrompt Engineer (San Francisco)
Posted today
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Job Description
Location: San Francisco
Job Type: Full-time
Department: Software Development/Engineering
Reports To: CTO
We are looking for a talented and driven Prompt Engineer to join our dynamic team working to make AI accessible to all. Our rapidly growing team is committed to building an intuitive platform to evaluate, orchestrate and scale AI solutions. Empowering businesses to innovate boldly, enhance efficiency and deliver intuitive AI tools.
In this role, you will be responsible for designing, optimizing and monitoring prompts for large scale models to deliver high-quality, accurate and actionable outputs. You will work closely with our product and engineering teams to ensure that the AI models align with our product vision. Your expertise and creative thinking will directly impact how our platform operates and bring one of the most exciting AI solutions to market in 2025.
Key Responsibilities:- Prompt Design & Optimization to generate high-quality, relevant and reliable outputs
- Collaborate with Product & Engineering Teams to translate product requirements into effective prompt designs
- Data Analysis & A/B Testing to analyze the performance of prompts using data-driven approaches
- Debugging and troubleshooting to ensure model outputs meet the highest standards
- Continuously improve prompt quality, performance and overall AI prompt generation process
- Create and maintain technical documentation
- Explore & Experiment with new prompt engineering techniques, trends and research
- Identify & Solve Issues related to prompt performance
- Develop & Implement playbooks, templates and best practices
Required:
- 2+ years of experience as a Prompt engineer or similar role
- Comprehensive understanding of natural language processing concepts, techniques and tools.
- Ability to analyze model output and identify areas for improvement
- Experience with data analysis and using metrics to evaluate model performance
- Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical team members
- Reside in the San Francisco Bay Area
Preferred:
- BS in Computer Science, Data Science or a related field
- Understanding of our core technology environments - Angular/Java/Python
- Understanding of REST / HTTP / Web Architecture
- Competitive salary and benefits package
- Flexible work hours and hybrid work options
- A collaborative and innovative work environment
- Access to the latest tools, technologies, and learning resources
If youre passionate about cutting-edge AI solutions that are transforming industries and delivering real business value and thrive in dynamic environments, we would love to hear from you! Apply today to be part of our team and help shape the future of technology.
How to Apply (resume required must reside in the San Francisco Bay Area)Where non-technical people create custom AI apps
#J-18808-LjbffrSoftware Engineer - Legal Prompt Engineer
Posted today
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Job Description
Software Engineer - Legal Prompt Engineer Refinitiv Remote USD 70,000 - 130,000 Software Engineer - Legal Prompt Engineer page is loaded Software Engineer - Legal Prompt Engineer Apply remote type Remote Job: Remote locations USA-Frisco-6160 Warren Parkway USA-New York-3 Times Square CAN-Toronto-19 Duncan Street USA-Ann Arbor-6300 Interfirst Dr USA-MSP-2900 Ames Crossing Road time type Full time posted on Posted 23 Days Ago time left to apply End Date: August 2, 2025 (23 days left to apply) job requisition id JREQ191358 Software Engineer - Legal Prompt Engineer page is loaded Software Engineer - Legal Prompt Engineer Apply remote type Remote Job: Remote locations USA-Frisco-6160 Warren Parkway USA-New York-3 Times Square CAN-Toronto-19 Duncan Street USA-Ann Arbor-6300 Interfirst Dr USA-MSP-2900 Ames Crossing Road time type Full time posted on Posted 23 Days Ago time left to apply End Date: August 2, 2025 (23 days left to apply) job requisition id JREQ191358 Software Engineer - Legal Prompt Engineer At Thomson Reuters, you will have the opportunity to influence and lead the global knowledge economy. Our innovative technology supports international markets and empowers professionals worldwide to make impactful decisions. By addressing both current challenges and future ambitions, you will collaborate with some of the brightest minds in the industry on diverse projects, crafting next-generation solutions that achieve significant results. As the foremost provider of intelligent information, we value your unique perspective to drive solutions that propel our business forward and enhance your career development. We are in search of a driven Software Engineer - Prompt Engineer with a background in law and experience working with APIs, complemented by domain expertise in the legal field (such as a JD or experience in the legal industry). You will collaborate with a very experienced team to build applications utilizing state-of-the-art Large Language Models (LLMs) that deliver cutting-edge and time-saving solutions to attorneys nationwide. About the Role As the Software Engineer - Prompt Engineer, you will: Orchestrate LLM-driven experiences that delight our customers Develop code that interacts with state-of-the-art LLMs Write, test, and iterate prose prompts for the LLM that leverage your legal domain knowledge, ensuring delivery of accurate, legally sound, and contextually appropriate responses Develop code that interacts with data sources & services (APIs, SQL databases, etc.) Collaborate with legal professionals and internal teams at Thomson Reuters to gather and comprehend requirements Integrate language models into multi-step systems, assessing their performance and making necessary modifications About You You’re a fit for the role of the Software Engineer - Prompt Engineer if you have: Legal domain expertise, with experience in legal practice, a JD in a non-traditional career path, or paralegal/legal industry roles 3–4 years of production-level software engineering experience on engineering or product teams, ideally at a startup Proficient in C# .NET / Python, or other programming languages Skilled in working with APIs and SQL Strong analytical, problem-solving, and creative writing abilities Hands-on experience coding with large language models (e.g., OpenAI, Anthropic, Cohere, Llama, Mistral) #LI-ES1 What’s in it For You? Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.For any eligible US locations, unless otherwise noted, the base compensation range for this role is $70,000 - $130,000.This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.This job posting will close . About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here . Learn more on how to protect yourself from fraudulent job postings here . More information about Thomson Reuters can be found on thomsonreuters.com. Similar Jobs (5) Software Engineer, Legal Prompter - Spanish Speaking remote type Remote Job: Remote locations 5 Locations time type Full time posted on Posted 19 Days Ago time left to apply End Date: July 21, 2025 (11 days left to apply) Senior Software Engineer, AI remote type Remote Job: Hybrid locations CAN-Toronto-19 Duncan Street time type Full time posted on Posted 30+ Days Ago Senior Software Engineer, AI remote type Remote Job: Hybrid locations 3 Locations time type Full time posted on Posted 30+ Days Ago Thomson Reuters informs the way forward by delivering trusted content and technology that professionals and institutions need to make the right decisions. We are modernizing the pillars of society through the digitalization of the tax and legal professions, the free press, commerce, and the rule of law, and elevating the way professionals and institutions work. Discover how Thomson Reuters approaches AI innovation as Chief Product Officer David Wong breaks down the essential components. #J-18808-Ljbffr
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Prompt Engineer - AI Innovation Catalyst
Posted 1 day ago
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Highmark Health
**Job Description :**
**JOB SUMMARY**
As a Prompt Engineer at Highmark, you will be at the epicenter of our AI revolution, shaping how our AI solutions understand and process business content to deliver high-quality, relevant, and accurate outputs. Your mastery of Large Language Models (LLMs) and prompt engineering will be crucial in driving innovation across our enterprise. You'll work hand-in-hand with AI engineers, data scientists, and business leaders to continuously improve the performance and capabilities of our AI-powered applications, impacting healthcare outcomes and user experiences. If you are passionate about responsible AI, this is the role for you.
**ESSENTIAL RESPONSIBILITIES**
+ Design, develop, and test various prompt engineering strategies to improve the quality and consistency of LLM outputs, using quantitative and qualitative metrics.
+ Conduct comprehensive prompt analysis to identify areas for optimization, including clarity, specificity, and bias mitigation.
+ Document best practices and guidelines for prompt engineering within the team, for example maintaining libraries of effective prompts and prompt templates for various applications.
+ Collaborate with engineers and researchers to integrate optimized prompts into our applications and pipelines.
+ Stay up-to-date with the latest advancements in prompt engineering.
+ Rapidly absorb stakeholder's business processes, context, and data to be confident manipulating it and doing first pass accuracy assessment.
+ Providing and explaining reports regarding AI outcomes and performance
+ Other duties as assigned or requested.
**EXPERIENCE**
**Required**
+ 3 years of experience working with large datasets and performing qualitative and quantitative data analysis using SQL or similar.
+ 1 year of Proven track record of successfully designing and implementing effective prompts for LLMs.
+ 1 year of experience working with unstructured data and outputs.
**Preferred**
+ Experience collaborating with cross-functional teams (e.g., product managers, designers, clinicians) to translate business needs into effective prompts and AI solutions.
+ Familiarity with AI ethics principles and responsible AI development practices.
+ Experience with various AI model evaluation techniques (e.g., A/B testing, human evaluation).
**SKILLS**
+ Proficiency in designing and evaluating prompts for different tasks (e.g., text generation, question answering, code generation).
+ Excellent problem-solving and analytical skills.
+ Ability to work independently and as part of a team.
+ Ability to effectively communicate complex AI concepts to both technical and non-technical audiences.
+ Strong presentation skills to convey insights and recommendations to stakeholders
+ Commitment to staying up-to-date with the latest advancements in AI and related technologies.
?
**EDUCATION**
**Required**
+ Bachelor's degree in Business, Computer Science, Data Science, or related field or relevant experience and/or education as determined by the company in lieu of bachelor's degree.
**Preferred**
+ Specialized training or certifications in prompt engineering or related AI disciplines.
**LICENSES or CERTIFICATIONS**
**Required**
+ None
**Preferred**
+ None
**Language (Other than English):**
+ None
**Travel Required:**
+ Less than 25%
**PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS**
**Position Type**
+ Office-Based
**Physical work site required**
+ Constantly
**_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._
**_Compliance Requirement_** _: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._
_As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._
_Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.
For accommodation requests, please contact HR Services Online at
California Consumer Privacy Act Employees, Contractors, and Applicants Notice
Req ID: J265245
Senior AI Prompt Engineer (remote)
Posted 1 day ago
Job Viewed
Job Description
***We are open to supporting 100% remote work anywhere within the continental US***
**Please read below before applying.**
**The Company:**
ICF is a mission-driven company filled with people who care deeply about improving the lives of others and making the world a better place. Our core values include Embracing Difference; we seek candidates who are enthusiastic about building a culture that encourages, embraces, and hires dimensions of difference.
**The Team:**
Our Health Engineering Solutions (HES) team works side by side with customers to articulate a vision for success, and then make it happen. We know success does not happen by accident. It takes the right team of people, working together on the right solutions for the customer. We are looking for a seasoned Senior Backend Engineer who will be a key driver to make this happen.
**The Work:**
The ICF Senior Data Engineer will support ICF's Health Engineering Solutions (HES) team in advancing key strategic initiatives for our CMS client. As a core member of the CMS Public Data Platform Team, this role will be instrumental in transforming complex data ecosystems into actionable insights that drive innovation, integration, and operational efficiency across content and data initiatives. This role is ideal for a technically skilled, innovative thinker who thrives on leveraging AI tools, low-code platforms, and custom coding to extract insights from large volumes of structured and unstructured data.
**What You'll Be Doing:**
+ Rapidly analyze and synthesize large-scale structured and unstructured datasets using a combination of AI tools, low-code platforms, and custom code.
+ Design and implement data topologies and knowledge graphs that map relationships, hierarchies, and dependencies across disparate data sources.
+ Perform data acquisition through web scraping, API integration, and ingestion of external knowledge bases.
+ Identify patterns, overlaps, and redundancies across datasets to support data harmonization and enrichment.
+ Develop and maintain scalable data pipelines and workflows that support advanced analytics and machine learning initiatives.
+ Collaborate with data scientists, analysts, and domain experts to translate business questions into data-driven solutions.
+ Ensure data quality, consistency, and governance across all stages of the data lifecycle.
**Required Qualifications:**
+ Bachelor's degree in Computer Science, Engineering, or a related technical field.
+ 5+ years of experience in data engineering, data integration, or related roles.
+ 3 + years of experience working with Python.
+ 1 years' experience with AI/ML tools and platforms (e.g., SageMaker, AzureML, VertexAI).
+ 1 years' experience with low-code/no-code platforms for data processing and automation.
+ 1 years' experience with knowledge graph construction, graph databases (e.g., Neo4j, RDF), and graph theory.
+ Strong understanding of data modeling, data warehousing, and ETL/ELT processes.
+ Excellent communication and collaboration skills.
+ Team player with the ability to work in a fast-paced environment
**Preferred Qualifications:**
+ **"U.S. Citizenship or Green Card is highly prioritized due to federal contract requirements"**
+ Experience with Generative AI and LLMs in data transformation and enrichment workflows.
+ Proficiency in web scraping, API development, and external data ingestion.
+ Familiarity with semantic technologies (e.g., SPARQL, OWL, RDF).
+ Experience with data visualization and storytelling.
+ Demonstrated ability to work independently and prioritize tasks in a fast-paced environment.
+ Strong critical thinking and problem-solving skills.
**Working at ICF:**
ICF is a global advisory and technology services provider, but we are not your typical consultants. We combine unmatched expertise with innovative technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are an equal opportunity employer, committed to hiring regardless of any protected characteristic, such as race, ethnicity, national origin, color, sex, gender identity/expression, sexual orientation, religion, age, disability status, or military/veteran status.
Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO & AA policy ( .
**Read more about** workplace discrimination rights ( **, the** Pay Transparency Statement ( **, or our benefit offerings which are included in the** Transparency in (Benefits) Coverage Act. ( at ICF**
ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our?EEO ( policy.
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email? ?and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations?
Read more about? workplace?discrimination?righ t s or our benefit offerings which are included in the? Transparency in (Benefits) Coverage Act.
**Candidate AI Usage Policy**
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process?
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at? . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. ?
**Pay Range** - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$89,203.00 - $151,646.00
Nationwide Remote Office (US99)
AI Prompt Engineer (San Francisco)
Posted today
Job Viewed
Job Description
We put people first. That means customers. That means leaders. That means you and your family. We aspire to be the best place youve ever worked. And that begins with amazing benefits.
Flexible time off
Our flexible time off policy supports work-life balance and acknowledges the unique needs and responsibilities of each team member beyond their work commitments.
Insurance coverage
Monograph loves families! Thats why we provide 100% premium coverage for employees and dependents, plus dental & vision plans for employees.
Paid family leave
Growing your family? Congrats! We offer flexibility and resources to support you. Youll get a 12-week paid leave so you can bond with your newest addition.
Fully remote work
We work hard to keep our remote work culture alive. Remote work does not mean disconnected work. Aside from regular team meetings, you can participate in Show & Tell, coffee chats, and much more. Dont be a stranger - we want to meet you!
Wellness stipend
We want to support your health and wellness goals. We offer a $50 per month stipend to keep you rolling. Gym memberships, fitness apps, health equipment? Weve got you covered.
401K plan
Stacking up for retirement? Monograph is here to support you. We also offer access to financial planning services to help you reach your goals.
Culture
We love food and petsCore values
The values that drive us People firstWe believe people come first. We believe in empathy, trust, gratitude, and humility. We strive to drive genuine relationships and diverse and inclusive communitieswith both our Monographers and our customers.
Do the hard thingWe believe in embracing what is hard. We take smart risks, we move quickly, we push through boundaries, and we find solutions.
OwnershipWe believe we are all owners and collaborators of Monograph's vision. We hold ourselves accountable, we take initiative, we champion our work, and we own our mistakes.
Intentional curiousityWe believe in experimenting and freeing ideas from boundaries, while also being thoughtful and deliberate. We are forever learning.
Seriously funWe believe when you enjoy what you do, you can accomplish your best work. We know that joyous energy compounds and is infectious for our customers, our product, and us.
We believe experiences should be magical. We build trust, clarify communication, and strengthen support through a design-centric approach.
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