1494 Artificial Intelligence jobs in San Bruno

Get AI-powered advice on this job and more exclusive features. Coders Connect is partnering with an ambitious, AI-first healthtech startup that’s redefining the revenue cycle in healthcare through generative AI. They build cutting-edge LLM-powered tools that supercharge the efficiency of medical billing and coding workflows—empowering healthcare providers to focus more on patient care by automating away complex administrative burdens. We’re seeking a Senior/Staff AI Engineer to help deploy and customize intelligent automation solutions for healthcare clients. This is a hands-on role involving direct collaboration with customers, rapid prototyping, and technical leadership within a fast-moving team. What You’ll Be Doing: Lead deployment and customization of LLM-based platforms for healthcare clients Translate customer pain points into AI-driven solutions Prototype and iterate quickly, adapting to evolving client needs Contribute feedback to product and core engineering teams Work across a broad set of AI/ML technologies, adapting them to real-world contexts Mentor peers and help shape the growing engineering culture Requirements: 4+ years in software/data/machine learning engineering roles Strong coding skills with a product-oriented mindset Deep interest or experience in LLMs and prompt engineering Ability to operate in ambiguity and break down complex challenges Strong communication and interpersonal skills Client-facing experience or desire to build those muscles A growth mindset and passion for improving healthcare systems Bonus Points For: Experience in healthcare or healthtech Proficiency in Python Familiarity with neural networks or broader ML techniques The Stack: Python-centric LLM tools and frameworks (e.g., LangChain, Pinecone, etc.) Custom GenAI integrations Competitive compensation package Equity in a fast-growing company Strong in-person team culture at their SF headquarters Career growth in a cutting-edge AI environment Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Health and Human Services and Software Development Referrals increase your chances of interviewing at Coders Connect by 2x Sign in to set job alerts for “Artificial Intelligence Engineer” roles. San Francisco, CA $130,000 - $30,000 5 months ago Software Engineer, Machine Learning (Multiple Levels) - Slack San Francisco, CA 167,300 - 334,600 2 days ago San Francisco, CA 140,000.00 - 215,000.00 1 month ago San Francisco, CA 150,000.00 - 300,000.00 9 months ago San Francisco, CA 140,000.00 - 200,000.00 4 months ago San Francisco, CA 140,000.00 - 180,000.00 5 months ago San Francisco Bay Area 160,000.00 - 180,000.00 2 weeks ago San Francisco, CA 130,000.00 - 180,000.00 3 months ago San Francisco, CA 140,000.00 - 160,000.00 4 months ago San Francisco, CA 175,000.00 - 225,000.00 7 months ago Research Engineer - Machine Learning (ML) San Francisco, CA 18,000 - 36,000 3 weeks ago San Francisco, CA 130,000 - 200,000 6 days ago Software Engineer, Python - AI Training (Freelance, Remote) San Francisco, CA 130,000 - 160,000 4 months ago San Mateo, CA 140,000 - 210,000 1 week ago San Francisco, CA 100,000 - 300,000 1 year ago San Francisco, CA 190,000 - 355,000 6 days ago San Francisco, CA 180,000 - 220,000 1 month ago 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

Company Description Join us and make YOUR mark on the World! Are you interested in working with some of the brightest talent to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL), where our employees apply their expertise to create solutions for BIG ideas that improve our world. We value individuals, talents, partnerships, ideas, experiences, and diverse perspectives, recognizing their importance to our mission's success. Pay Range: $140,700 - $78,392 Annually for the SES.2 level 168,780 - 214,032 Annually for the SES.3 level This is the estimated salary range at the time of posting; actual pay will be determined based on various factors including competencies, education, experience, and organizational needs. Job Description We are seeking an AI Infrastructure Architect to design, implement, and support enterprise AI initiatives at LLNL. You will work within a small, collaborative team focused on AI infrastructure, collaborating with AI Engineers, Developers, IT Infrastructure teams, and leadership to drive strategic AI efforts supporting innovation and operational efficiency. This role is part of the Enterprise Infrastructure Services (EIS) Division within the Computing Directorate, supporting the LivIT Systems Networks & Technologies Program Area. Depending on your experience, this position may be filled at SES.2 or SES.3 level, with additional responsibilities at the higher level. The role may offer a hybrid schedule with some remote work flexibility. Key Responsibilities: Analyze operational inefficiencies and propose AI-driven solutions. Leverage automation expertise to optimize workflows, monitoring, and configuration management for AI frameworks and pipelines. Ensure AI infrastructure efforts comply with security policies, collaborating with Cyber Security. Evaluate and integrate emerging AI technologies and tools to enhance infrastructure capabilities. Monitor AI infrastructure performance, identify bottlenecks, and implement scalable, reliable, and cost-effective solutions. Lead and oversee AI system architecture lifecycle at SES.3 level, including requirements, design, development, testing, and upgrades. Mentor team members to enhance AI skills and organizational knowledge sharing. Qualifications: U.S. citizenship and ability to obtain a DOE Q-level security clearance. Bachelor’s degree in Computer Science, Software Engineering, MIS, or related field, or equivalent experience. Experience with Python, R, or similar languages, and automation scripting. Proficiency with NLP tools (SpaCy, NLTK, Hugging Face) and AI frameworks (TensorFlow, PyTorch, etc.). Experience with automation tools and Infrastructure-as-Code platforms (Ansible, Terraform, Kubernetes, etc.). Strong systems programming experience for web applications, cloud services, containers, and security. Effective collaboration and communication skills. Additional qualifications at SES.3 include advanced knowledge of IaC, CI/CD pipelines, APIs, microservices, cloud platforms, and data lake management. This position requires a DOE Q-level clearance, a background check, and compliance with security protocols, including restrictions on mobile devices in certain areas. We are an equal opportunity employer committed to diversity and inclusion. Reasonable accommodations are available during the application process. #J-18808-Ljbffr

Product Owner - Artificial Intelligence - LSHCERU Join to apply for the Product Owner - Artificial Intelligence - LSHCERU role at Tata Consultancy Services . Role Overview The Product Owner - Artificial Intelligence is responsible for managing the development, deployment, and lifecycle of AI-powered products within the Life Sciences, Healthcare, Energy, Resources, and Utilities industries. They ensure that AI solutions meet technical standards, align with user needs, ethical considerations, and business strategies. Responsibilities Bridge the gap between business needs, customer expectations, and technical capabilities of AI solutions. Manage the lifecycle of AI products from conception to deployment and maintenance. Collaborate with technical teams to ensure AI solutions are feasible and effective. Technical Skills & Experience Minimum of 8 years of relevant experience in product management or AI development. Proficiency in programming languages such as Python and SQL. Experience with AI development tools, auto ML platforms, and cloud infrastructure. Effective communication skills with technical teams. Industry experience in Life Sciences, Healthcare, Energy, Resources, or Utilities sectors. Additional Details Location: San Francisco, CA, with consideration for other US locations (compensation for Bay Area). Salary Range: $137,280 - $205,400. Seniority Level: Mid-Senior level. Employment Type: Full-time. Job Function: Product Management and Marketing. Industry: IT Services and IT Consulting. #J-18808-Ljbffr

Direct message the job poster from Bestinfo Systems LLC

Position: AI Agent Builder

Job Type: Full-Time (FTE)

Base Salary: $100,000 to $00,000 + Best-in-class benefits

This is a hybrid position focusing on the quick and iterative development of AI agents and frameworks, as well as advancing the underlying infrastructure. You will:

• Build next-generation AI agents for workload management and automation.
• Develop the underlying agent infrastructure powering various types of agents.
• Engage in DevRel and create content to promote adoption, foster community collaboration, and align technical and product goals.

• Prototype & Iterate: Build and refine AI agents for workload management, automation, and real-time decision-making.
• Framework Integration: Extend agent frameworks to accommodate evolving features and performance needs.
• Experimental Features: Explore new capabilities like multi-agent collaboration and memory architectures to inform design decisions.

• Python (FastAPI, Async): Building agent logic, REST APIs, backend services.
• Pytorch
• TypeScript/React/Next.js: Creating dashboards and visualizations for monitoring.
• Real-time & WebSocket Systems: Building streaming or live-updating UIs.
• API Design: Crafting intuitive interfaces for agent communication.

• Rust: Systems programming for high-performance components.
• Kubernetes, Docker: Container orchestration and deployment.
• Infrastructure automation and configuration management.
• Cloud Experience: Familiarity with scalable, cost-effective infrastructure.

• GPU/ML Infrastructure: Optimizing training and inference on GPUs.
• Advanced AI/ML Knowledge: Understanding model architectures and workflows.
• High-Performance Networking: Building low-latency data pipelines.
• Open-Source Contributions: Proven community-driven project experience.

Seniority Level: Mid-Senior

Minimum Education: Bachelor's Degree

• Employment Type: Full-time
• Job Function: Information Technology and Engineering
• Industries: Information Services, Technology, Media, Software Development

Referrals increase your chances of interviewing at Bestinfo Systems LLC by 2x.

Location: San Francisco, CA

Salary Range: $90, 00 - 300,000 (various postings)

Apprentice Engineer - Artificial Intelligence / Machine Learning Apprentice Engineer - Artificial Intelligence / Machine Learning 1 week ago Be among the first 25 applicants Direct message the job poster from LinkedIn Senior Emerging Talent Recruiter at LinkedIn Apprentice Engineer – Artificial Intelligence / Machine Learning Mountain View, CA This role is not eligible for visa sponsorship. Applicants must be authorized to work in the US for LinkedIn without requiring visa sponsorship now or in the future. To learn more about the program and the application questions and timeline, please visit: careers.linkedin.com/reach. Company Description LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Searching for your dream job? At LinkedIn, we have developed an apprenticeship program that creates opportunity for every individual with the passion, potential, and drive to either develop or restart their career in engineering. We fundamentally believe top talent can come from anywhere, regardless of educational training or professional experience. REACH Program REACH is a multi-year program where individuals with passion for engineering will work in technical roles to build their skill set and gain the experience needed to become an Engineer at LinkedIn. The time each apprentice spends in this program will vary depending on their incoming skill set, experience, and progress through the program. The time in program is a one year minimum and a five year maximum in the apprenticeship. This program is designed for candidates who have non-traditional career paths and we strongly encourage those candidates to apply. This includes but is not limited to: candidates without Computer Science degrees who are self-taught, those that are re-entering the workforce, individuals switching careers, or those who have attended boot camp style courses focusing on machine learning or data science. Hybrid Work 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. Artificial Intelligence/ Machine Learning Apprenticeship As an Apprentice Engineer, you will be placed on an Artificial Intelligence/ Machine Learning engineering team at LinkedIn developing cutting-edge machine learning models that serve millions of members. You will learn from fellow engineers and leaders and develop key skills applicable to a career in Artificial Intelligence/Machine Learning. Furthermore, apprentices are guaranteed a percentage of time to focus on their personal technical development, using both LinkedIn’s internal ecosystem and external educational opportunities. Is Artificial Intelligence/ Machine Learning a good fit for me? You might be a good fit for this apprentice role if you have strong quantitative and problem-solving skills, regardless of the areas in which you developed them or applied them. There are endless possibilities for the experiences that have prepared you for this apprenticeship. For example, you might be someone working in analytics or software engineering who has been wanting to switch to artificial intelligence/ machine learning. You might be someone with a background in social science who has applied quantitative methods in that arena. You might be someone whose hobby is thinking about improvements to sports statistics like expected goals, home runs, or team rankings. Job Responsibilities: • Contribute a unique perspective and creative approach to solving problems at LinkedIn • Continue to learn and develop artificial intelligence/ machine learning skills • Under the mentorship and guidance of seasoned LinkedIn engineers, produce high-quality software that is tested, code reviewed, and checked in regularly for continuous integration • Solve difficult problems with machine learning, write code to put those solutions into production or inform business decision making, and deliver with a sense of urgency and quality • Develop machine learning models that will serve our 740 million members on LinkedIn Basic Qualifications: • An undergraduate or graduate degree (bachelor’s, master’s or doctorate) in any field • Demonstrated history of independent problem solving, data-driven thinking, and quantitative skills. These skills may have been gained or demonstrated as part of a degree program or prior work experience. These do not have to be in a technology setting, but rather any situation in which you used math and code to help drive decisions or outcomes. • Demonstrated history of Artificial Intelligence/Machine Learning related projects. There is a wide range of examples that will qualify, including but not limited to: • Open-source contributions • Personal analytics or machine learning projects • Analytical, mathematical, or statistical work as part of a job or research Preferred Qualifications: • Understanding of CS concepts: variables, recursion, algorithms, data structures, object orientation, error handling, etc. Knowing these will make it easier for you to learn more complex software topics! • Knowledge of common machine learning techniques such as regression, clustering, and tree-based methods • Excellent collaborative and communication skills, and ability to clearly articulate your perspective • Entrepreneurial mindset to bring in a new and unique perspective to the team • Desire to learn and develop skills in the fields of artificial intelligence/ machine learning Suggested Skills: • Statistical Analysis • Machine Learning • Coding in Programming/scripting languages • Critical Thinking LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $82,000 to $09,000. 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 Application Requirements: Our application process is designed to give individuals the opportunity to show us a range of qualities we believe will make them successful engineers. This includes their drive and ability to learn, tenacity and work ethic, unique perspective and passion for engineering. As part of the application process, individuals are required to submit responses to the application questions and responses will be reviewed for completeness as well as content. To review the questions, including recommended length for each, please visit the role description at careers.linkedin.com/reach. Please note, resumes and LinkedIn profiles will NOT be considered as part of the evaluation for REACH. Therefore, please make sure that any information you would like us to know is highlighted in your application responses. We also know that tools like ChatGPT and others are widely used and can be helpful in organizing your thoughts. If you choose to use AI while writing your application, please make sure your responses reflect your own experiences, voice, and ideas. We're looking to understand your journey, interests, and baseline technical skills—and authenticity really helps us get to know you. Equal 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: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview 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. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Industries Technology, Information and Internet and IT Services and IT Consulting Referrals increase your chances of interviewing at LinkedIn by 2x Get notified about new Machine Learning Engineer jobs in Mountain View, CA . Software Engineer, AI Intern (Fall 2025) Software Engineer, AI Intern (Summer 2025) Mountain View, CA $1 5,400.00- 188,100.00 5 days ago Software Engineer, AI Platform - New Grad San Jose, CA 130,000.00- 180,000.00 6 days ago Software Engineer I (Full Time) United States San Jose, CA 98,600.00- 125,900.00 1 day ago New Grads 2025 - Software Engineer, Algorithm San Jose, CA 120,000.00- 165,000.00 9 months ago New Grads 2025 - General Software Engineer San Jose, CA 120,000.00- 165,000.00 4 months ago Software Engineer (L4), Content & Business Products Full Stack Software Engineer - Post-training Palo Alto, CA 180,000.00- 440,000.00 20 hours ago Software Engineer(s) - New Grad (Fall 2025 Graduation) Sunnyvale, CA 117,000.00- 234,000.00 6 days ago Software Engineer 4 - TV & Web Player Platform San Jose, CA 142,400.00- 190,100.00 1 week ago Palo Alto, CA 140,000.00- 185,000.00 2 weeks ago San Jose, CA 133,900.00- 242,000.00 2 weeks ago Menlo Park, CA 56.25- 173,000.00 18 hours ago San Jose, CA 113,400.00- 206,300.00 1 week ago San Jose, CA 113,400.00- 206,300.00 4 days ago Mountain View, CA 188,000.00- 199,750.00 11 hours ago San Jose, CA 113,400.00- 206,300.00 1 week ago San Jose, CA 113,400.00- 206,300.00 1 week ago Frontend Software Engineer - University Graduate 2025 San Mateo, CA 120,000.00- 280,000.00 5 days ago Full Stack Software Engineer (L4), Product Localization Engineering San Jose, CA 100,500.00- 173,250.00 2 days ago Santa Clara, CA 150,000.00- 175,000.00 7 months ago 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