10,605 AI Engineer jobs in the United States

Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world's leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you.

Role: Data Scientist (AI Engineer/ Data Science Engineer)
Location: Remote
Duration: 6+ Months
Required Skills: Data Science, AI / ML, MLOps, Deployment
Job Description:

• Work alongside of our Data Scientist to deploy automated model pipelines for validation and deployment.
• Deliver automated pipelines that monitor model performance and retraining of ML models
• Develop MLOps standards that promote models through production.
• Support the lifecycle management of deployed AI solutions.
• Collaborate with stakeholders and communicate changes throughout a model's lifecycle

For more information and other jobs available please contact our recruitment team at To view all the jobs available in the USA and Asia please visit our website at

Job Description
As an AI Engineer on our team, you will collaborate with passionate professionals to develop cutting-edge prototypes that drive innovation across various domains. You will build, test, and deploy prototypes relating to emerging technologies and prioritized use cases. Additionally, you will play a key role in advancing our companys capabilities to leverage AI and emerging technologies.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form ( . The EEOC "Know Your Rights" Poster is available here ( .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .
Skills and Requirements
MUST be willing to travel to Camel, IN
3+ years of experience in AI/ML engineering creating MVPs
Experience supporting both batch and real-time inference pipelines in collaboration with Data Science and Applied AI teams.
Experience working with Gen AI
Python expertise for building and deploying machine learning models, working with APIs, and automating workflows
MUST come from an Azure first environment
Specific experience with 5-7 of the following required:
o Predictive Modelling, Data Cleaning, Data Visualization, Segmentation Modelling, Natural Language Processing, Graph Database Knowledge, API Usage, Database Querying, Software Development, Applied Mathematical Modelling, Programming for Automation, Data Pipeline Building, CI/CD Experience with R
Energy or utility experience
Masters degree or PHD null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to

**About the team:** ?
At the Capco Technology Delivery Center, we are dedicated to the financial services industries. Our professionals combine innovative thinking with unrivalled industry and domain expertise to offer our clients consulting expertise, complex technology and package integration, transformation delivery, and managed services, to move their organizations forward. Through our collaborative and efficient approach, we help our clients successfully innovate, increase revenue, manage risk and regulatory change, reduce costs, and enhance controls. Our teams stay at the forefront of industry trends and technologies that are driving innovation. From strategy to launch, we are adept at delivering across the full product lifecycle?
**About the Job:** ?
As a member of the Capco Technology Delivery Team, you'll bring practical knowledge of agile development methodologies and engineering best practices. As an AI Engineer, you'll play an integral role using your experience and skills to contribute to the quality and implementation of our projects?
We are seeking a highly skilled and experienced Senior GenAI Engineer who will be instrumental in designing, developing, and deploying modern generative AI solutions, leveraging expertise in foundation models, agentic AI systems, and full-stack application development. You will work across the entire AI lifecycle, from research and prototyping to production deployment and monitoring, contributing to high-impact transformative projects.
**What** **You'll** **Get to Do:** **?**
+ Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
+ Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
+ Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
+ Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
+ Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
+ Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
+ Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
+ Design and implement scalable RESTful APIs and microservices to expose AI functionalities
+ Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
+ Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
+ Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
+ Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
+ Mentor junior engineers, share knowledge, and foster a culture of technical excellence
**What** **You'll** **Bring with You:** ?
+ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
+ 5+ years of experience in software development with a strong focus on AI/ML
+ Proven experience in building and deploying Generative AI models (e.g., LLMs, diffusion models) in production environments
+ Demonstrated expertise in designing and implementing agentic AI systems and multi-agent architectures
+ Strong understanding and practical experience with the Model Context Protocol (MCP) for AI system integration
+ Solid experience with full-stack application development
+ Extensive experience with cloud platforms (AWS, Azure, or GCP) for AI/ML deployments and general application hosting
+ Experience with LLMOps tools and practices (e.g., Langfuse, Langsmith, etc)
+ Excellent problem-solving, analytical, and communication skills
+ Ability to work independently and collaboratively in a fast-paced, agile environment
+ Willingness to work in the Orlando (Maitland) office 3 days/week.
**Why Capco?** ?
A career at Capco is a chance to help reshape the competitive landscape in financial services. We launch new banks, transform existing ones, and help our clients navigate complex change. As consultants, we work on the front-end business design all the way through to technology implementation?
We are the largest Financial Services focused consultancy in the world, serving everyone from global banks to emerging FinTechs, from strategy through digital transformation, design, business consulting, data and analytics, cyber, cloud, technology architecture, and engineering?
Capco is a young and growing firm. We maintain an entrepreneurial spirit and growth mindset, and have minimal bureaucracy. We have no internal silos that get in the way of your career opportunities or ability to focus on our clients and make a difference to the business?
We offer the opportunity for everyone to learn rapidly, take on tough challenges, and get promoted quickly. We take pride in our creative, collaborative, diverse, and inclusive culture, where everyone can #BYAW?
We offer highly competitive benefits, including medical, dental, and vision insurance, a 401(k) plan, tuition reimbursement, and a work culture focused on innovation and creation of lasting value for our clients and employees?
**Ready to Take the Next Step?** ?
If this sounds like you, we would love to hear from you. This is an opportunity to make a difference and contribute to a highly successful company with a significant growth trajectory?
We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
#LI-MB1
#LI-HYBRID
Individuals seeking employment at Capco are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

AI Engineer
**Austin, Texas, United States**
**Software and Services**
**Summary**
Posted: **Jul 10, 2025**
Weekly Hours: **40**
Role Number: **200612097**
Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish!
Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers.
Apple's US Decision Intelligence (DI) team is looking for a dedicated individual who is passionate about crafting, implementing, and operating AI solutions that have a direct and measurable impact on Apple Sales and its customers. We're looking for a hands-on AI Engineer with strong software development skills and a passion for applying LLMs and ML models to real-world business problems. You'll be responsible for building, testing, and optimizing intelligent agents, retrieval pipelines, and embedded AI features across our sales data platforms.
**Description**
This role will operate in both capacities, to augment existing AI roadmap, as well as innovate and trailblazing new frontier tech projects, crafting AI experiences that reduce time to insights and catalyze decision making.
AI is a team sport, and in your role, you will be key in leading and influencing teams on the translation of business problems and questions into GenAI solutions. In this role, you will:
- Architect Recommendation System based on agentic frameworks
- Architect repository of images to support insights based on diffusion models
- Architect agentic summarization framework for scalability
- Architect RAG framework for scale
- Design modular APIs, SDKs, and microservices to integrate LLMs, retrieval-augmented generation (RAG), traditional ML models, and data pipelines.
- Drive interoperability with existing ML systems (e.g., forecasting, attribution, anomaly detection) and support downstream apps like dashboards, web tools, and chat interfaces.
- Partner closely with data science, engineering, and sales ops to embed context-aware intelligence in decision-making tools.
- Lead technical decision-making on infrastructure components, embedding safety mechanisms (e.g., autonomy sliders, grounding checks, model monitoring).
- Build scalable pipelines for multi-modal agent input, memory, and semantic routing.
- Contribute to hiring and mentoring a cross-functional team of engineers and scientists.
- Collaborate closely with business teams to incorporate AI into their weekly cadences.
**Minimum Qualifications**
+ 7+ years of experience in ML, data engineering, or backend development, with recent focus on GenAI and LLMs.
+ Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
+ Ability to lead development of AI projects from start to finish.
+ Comfort with ambiguity. Ability to architect a full orchestrator and business context layer for sales.
+ Proficiency in Python (FastAPI, LangChain, or similar frameworks), prompt engineering, and RESTful API design.
+ Hands-on experience with LLM APIs, embeddings, vector databases, and RAG workflows.
+ Solid grounding in data structures, async programming, and pipeline orchestration.
+ Experience working with monitoring and observability tools (e.g., Prometheus, OpenTelemetry, Weights & Biases).
+ Bias for action, curiosity, and a collaborative mindset.
+ Familiarity with telemetry and evaluation frameworks for AI agents.
+ Experience working with data science teams on insights generation leveraging LLMs.
+ Knowledge of project management, productivity, and design tools such as Wrike and Sketch.
+ Strong time management skills with the ability to collaborate across multiple teams.
+ Proven experience designing scalable, cloud-native platforms (e.g., AWS, GCP, or on-prem hybrid).
+ Ability to balance competing priorities, long-term projects, and ad hoc requirements.
+ Ability to work in a fast-paced, dynamic, constantly evolving business environment.
+ B.S Degree in Computer Science/Engineering, or equivalent work experience.
**Preferred Qualifications**
+ Strong experience articulating and translating business questions into AI solutions.
+ Communicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences.
+ Experience with anomaly detection and causal inference models.
+ Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. Strong ability to gain trust with stakeholders and senior leadership.
+ Proven experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.).
+ Familiarity with embedding, retrieval algorithms, agents, and data modeling for vector development graphs.
+ Proficiency with other complementary technologies for distributed systems architecture and asynchronous messaging, agent communication, and catching like RabbitMQ, Redis, and Valkey are preferred.
+ Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field is preferred.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant ( .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

**About the team:** ?
At the Capco Technology Delivery Center, we are dedicated to the financial services industries. Our professionals combine innovative thinking with unrivalled industry and domain expertise to offer our clients consulting expertise, complex technology and package integration, transformation delivery, and managed services, to move their organizations forward. Through our collaborative and efficient approach, we help our clients successfully innovate, increase revenue, manage risk and regulatory change, reduce costs, and enhance controls. Our teams stay at the forefront of industry trends and technologies that are driving innovation. From strategy to launch, we are adept at delivering across the full product lifecycle?
**About the Job:** ?
As a member of the Capco Technology Delivery Team, you'll bring practical knowledge of agile development methodologies and engineering best practices. As an AI Engineer, you'll play an integral role using your experience and skills to contribute to the quality and implementation of our projects?
We are seeking a highly skilled and experienced Senior GenAI Engineer who will be instrumental in designing, developing, and deploying modern generative AI solutions, leveraging expertise in foundation models, agentic AI systems, and full-stack application development. You will work across the entire AI lifecycle, from research and prototyping to production deployment and monitoring, contributing to high-impact transformative projects.
**What** **You'll** **Get to Do:** **?**
+ Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
+ Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
+ Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
+ Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
+ Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
+ Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
+ Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
+ Design and implement scalable RESTful APIs and microservices to expose AI functionalities
+ Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
+ Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
+ Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
+ Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
+ Mentor junior engineers, share knowledge, and foster a culture of technical excellence
**What** **You'll** **Bring with You:** ?
+ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
+ 5+ years of experience in software development with a strong focus on AI/ML
+ Proven experience in building and deploying Generative AI models (e.g., LLMs, diffusion models) in production environments
+ Demonstrated expertise in designing and implementing agentic AI systems and multi-agent architectures
+ Strong understanding and practical experience with the Model Context Protocol (MCP) for AI system integration
+ Solid experience with full-stack application development
+ Extensive experience with cloud platforms (AWS, Azure, or GCP) for AI/ML deployments and general application hosting
+ Experience with LLMOps tools and practices (e.g., Langfuse, Langsmith, etc)
+ Excellent problem-solving, analytical, and communication skills
+ Ability to work independently and collaboratively in a fast-paced, agile environment
+ Willingness to work in the Charlotte office 3 days/week.
**Why Capco?** ?
A career at Capco is a chance to help reshape the competitive landscape in financial services. We launch new banks, transform existing ones, and help our clients navigate complex change. As consultants, we work on the front-end business design all the way through to technology implementation?
We are the largest Financial Services focused consultancy in the world, serving everyone from global banks to emerging FinTechs, from strategy through digital transformation, design, business consulting, data and analytics, cyber, cloud, technology architecture, and engineering?
Capco is a young and growing firm. We maintain an entrepreneurial spirit and growth mindset, and have minimal bureaucracy. We have no internal silos that get in the way of your career opportunities or ability to focus on our clients and make a difference to the business?
We offer the opportunity for everyone to learn rapidly, take on tough challenges, and get promoted quickly. We take pride in our creative, collaborative, diverse, and inclusive culture, where everyone can #BYAW?
We offer highly competitive benefits, including medical, dental, and vision insurance, a 401(k) plan, tuition reimbursement, and a work culture focused on innovation and creation of lasting value for our clients and employees?
**Ready to Take the Next Step?** ?
If this sounds like you, we would love to hear from you. This is an opportunity to make a difference and contribute to a highly successful company with a significant growth trajectory?
We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
#LI-MB1
#LI-HYBRID
Individuals seeking employment at Capco are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

Title:
AI Engineer
Title:
AI Engineer
Belong. Connect. Grow. with KBR!
KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country's most critical role - protecting our national security.
Why Join Us?
+ Innovative Projects: KBR's work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.
+ Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.
+ Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.
This is a contingent position based upon contract award
KBR is seeking a highly motivated and experienced AI Engineer to join our Verification and Validation team. As a key member of our team, you will play a critical role in ensuring the reliability and accuracy of our AI technologies and products. You will work on a broad range of projects, from initial development to deployment, and will be responsible for leading technical tasks and mentoring junior engineers.
Key Responsibilities:
+ Develop and Apply Verification and Validation Techniques:
+ Develop and apply current verification and validation paradigms, including model testing, simulation, and formal methods, to ensure the accuracy and reliability of AI systems.
+ Engage in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and testing.
+ Take ownership of critical tasks and lead technical teams to deliver high-quality solutions.
+ Participate in the development of proposals and whitepapers to secure funding for verification and validation projects.
+ Technical Leadership and Mentorship:
+ Assume technical lead responsibilities and mentor junior engineers to help them develop their skills and expertise.
+ Provide guidance and support to team members to ensure successful project execution.
+ Collaboration and Communication:
+ Work collaboratively with cross-functional teams to develop and deploy AI solutions.
+ Communicate complex technical concepts and solutions to non-technical stakeholders.
+ Engage with other teams to identify opportunities for verification and validation of AI systems.
Minimum Qualifications:
Technical Skills:
+ Strong background in software engineering, artificial intelligence, and machine learning.
+ Experience with current verification and validation paradigms, including model testing, simulation, and formal methods.
+ Proficiency in programming languages such as Python, Java, or C++.
+ Strong background in signal processing theory and application (radar, communication, electronic warfare, sonar, audio, or biomedical).
Soft Skills:
+ Self-motivation, strong work ethic, and time management skills.
+ Excellent interpersonal and communication skills.
Education and Experience:
+ Bachelor's degree in a relevant field, such as computer science, electrical engineering, or mathematics.
+ 5+ years of experience in AI or a related field.
Basic Qualifications:
+ Bachelor's Degree in Engineering, Computer Science, or other related discipline.
+ Experience developing with machine learning frameworks (Pytorch, Tensorflow, MxNet, Caffe, Keras, etc.).
+ Experience with Python and multiple libraries (NumPy, OpenCV, Scikit, Pandas, SciPy, etc.).
+ Understanding of software engineering best practices.
+ Must be a US Citizen.
+ TS/SCI with willingness to sit for a Poly
Additional Compensation:
KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of sign on bonus, relocation benefits, short term incentives, long term incentives, or discretionary payments for exceptional performance.
Ready to Make a Difference?
If you're excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together.
KBR Benefits
KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.
Belong, Connect and Grow at KBRAt KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.
Belong, Connect and Grow at KBRAt KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

**About the team:** ?
At the Capco Technology Delivery Center, we are dedicated to the financial services industries. Our professionals combine innovative thinking with unrivalled industry and domain expertise to offer our clients consulting expertise, complex technology and package integration, transformation delivery, and managed services, to move their organizations forward. Through our collaborative and efficient approach, we help our clients successfully innovate, increase revenue, manage risk and regulatory change, reduce costs, and enhance controls. Our teams stay at the forefront of industry trends and technologies that are driving innovation. From strategy to launch, we are adept at delivering across the full product lifecycle?
**About the Job:** ?
As a member of the Capco Technology Delivery Team, you'll bring practical knowledge of agile development methodologies and engineering best practices. As an AI Engineer, you'll play an integral role using your experience and skills to contribute to the quality and implementation of our projects?
We are seeking a highly skilled and experienced Senior GenAI Engineer who will be instrumental in designing, developing, and deploying modern generative AI solutions, leveraging expertise in foundation models, agentic AI systems, and full-stack application development. You will work across the entire AI lifecycle, from research and prototyping to production deployment and monitoring, contributing to high-impact transformative projects.
**What** **You'll** **Get to Do:** **?**
+ Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
+ Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
+ Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
+ Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
+ Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
+ Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
+ Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
+ Design and implement scalable RESTful APIs and microservices to expose AI functionalities
+ Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
+ Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
+ Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
+ Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
+ Mentor junior engineers, share knowledge, and foster a culture of technical excellence
**What** **You'll** **Bring with You:** ?
+ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
+ 5+ years of experience in software development with a strong focus on AI/ML
+ Proven experience in building and deploying Generative AI models (e.g., LLMs, diffusion models) in production environments
+ Demonstrated expertise in designing and implementing agentic AI systems and multi-agent architectures
+ Strong understanding and practical experience with the Model Context Protocol (MCP) for AI system integration
+ Solid experience with full-stack application development
+ Extensive experience with cloud platforms (AWS, Azure, or GCP) for AI/ML deployments and general application hosting
+ Experience with LLMOps tools and practices (e.g., Langfuse, Langsmith, etc)
+ Excellent problem-solving, analytical, and communication skills
+ Ability to work independently and collaboratively in a fast-paced, agile environment
+ Willingness to work in the New York office 3 days/week.
**Why Capco?** ?
A career at Capco is a chance to help reshape the competitive landscape in financial services. We launch new banks, transform existing ones, and help our clients navigate complex change. As consultants, we work on the front-end business design all the way through to technology implementation?
We are the largest Financial Services focused consultancy in the world, serving everyone from global banks to emerging FinTechs, from strategy through digital transformation, design, business consulting, data and analytics, cyber, cloud, technology architecture, and engineering?
Capco is a young and growing firm. We maintain an entrepreneurial spirit and growth mindset, and have minimal bureaucracy. We have no internal silos that get in the way of your career opportunities or ability to focus on our clients and make a difference to the business?
We offer the opportunity for everyone to learn rapidly, take on tough challenges, and get promoted quickly. We take pride in our creative, collaborative, diverse, and inclusive culture, where everyone can #BYAW?
We offer highly competitive benefits, including medical, dental, and vision insurance, a 401(k) plan, tuition reimbursement, and a work culture focused on innovation and creation of lasting value for our clients and employees?
**Ready to Take the Next Step?** ?
If this sounds like you, we would love to hear from you. This is an opportunity to make a difference and contribute to a highly successful company with a significant growth trajectory?
We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
#LI-MB1
#LI-HYBRID
US Pay Range
$125,000-$143,000 USD
Individuals seeking employment at Capco are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

Do you love a career where you Experience , Grow & Contribute at  the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you. Learn how we are redefining the meaning of work , and be a part of the team raved by Clients, Job-seekers and Employees. Jobseeker Video Testimonials Employee Glassdoor Reviews If you are a AI Engineer Platforms looking for excitement, challenge and stability in your work, then you would be glad to come across this page.

We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details.

Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive  Talent Solution. RequirementsRole:AI Engineer Location: Charlotte,NC Exp: 3-6 Years  Requirements

We are looking for a Machine Learning Engineer / Data Scientist with 3–6 years of hands-on experience to join our growing data science team. You will be working on the design, development, and deployment of scalable machine learning models that drive intelligent decision-making across business units. This is an excellent opportunity to contribute to real-world ML products and shape innovative solutions in a data-driven environment.

Key Responsibilities:

Design and implement machine learning models to address business problems including classification, regression, and clustering.

Collaborate with cross-functional teams including data engineers, software developers, and domain experts to build and integrate ML solutions.

Perform data preprocessing, exploration, and feature engineering using tools like Pandas and NumPy .

Develop and evaluate models using libraries such as Scikit-learn , XGBoost , TensorFlow , or PyTorch .

Work with large-scale datasets to build models that are robust, interpretable, and production-ready.

Monitor model performance and assist in retraining and tuning when necessary.

Document model assumptions, development steps, and performance metrics for internal governance and review.

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science , Data Science , AI , Engineering , or related fields.

3–6 years of experience in machine learning or data science roles.

Proficient in Python , with strong knowledge of ML libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch .

Comfortable writing and optimizing SQL queries.

Hands-on experience with data wrangling and manipulation using Pandas or similar tools.

Solid understanding of key machine learning concepts: classification, regression, clustering, cross-validation, evaluation metrics, feature selection , and hyperparameter tuning .

Preferred Qualifications:

Exposure to cloud platforms such as AWS , Azure , or Google Cloud Platform (GCP) .

Experience using ML tools like SageMaker , Databricks , or Vertex AI .

Familiarity with MLOps concepts and tools such as MLflow , Airflow , or Kubeflow .

Domain knowledge or prior experience in financial services , especially building models for credit scoring , risk assessment , or fraud detection .

Understanding of regulatory requirements , model documentation standards , and governance protocols in the financial sector.

Nice to Have:

Exposure to model monitoring frameworks and alerting pipelines.

Experience with notebooks (Jupyter, Colab) and version control (Git).

Background in statistics or a quantitative field is a strong plus.

BenefitsVisit us at  Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.CEO Message: Click HereClients Testimonial: Click Here

AI Engineer - Machine Learning (US)

Gauss Labs is looking for a passionate and talented AI Engineer for developing cutting-edge Industrial AI solutions that will normalize the standard of AI for manufacturing. We are working with the world's best manufacturing customers while accessing the vast amount of real data from their manufacturing processes. We apply state-of-the-art AI technologies to the data and develop unprecedented AI/ML solutions to transform manufacturing to the next level.

As an AI Engineer, you will be responsible for translating cutting-edge AI and machine learning research into robust, scalable software solutions. Your work will ensure the seamless integration of models into production environments and contribute to the broader success of AI initiatives across the company. You will develop AI software by working with seasoned Applied Scientists, Software Engineers, and Program Managers located in Palo Alto, California, USA and Seoul, South Korea.

Responsibilities

• Collaborate with AI Scientists to understand model requirements and design scalable, efficient ML pipelines.
• Build and maintain reliable, performant infrastructure for data processing, model training, evaluation, and deployment.
• Own the end-to-end implementation of ML systems from research prototypes to production-grade code.
• Optimize model training/inference, latency, and resource usage to meet performance and system constraints.
• Develop monitoring, observability, and CI/CD tooling to support the full ML lifecycle in staging and production environments.
• Ensure engineering best practices in code quality, testing, documentation, and software reliability.
• Interface with product and engineering teams to understand requirements and drive integration of AI systems into user-facing applications.

Key Qualifications

• BS in Computer Science, Electrical Engineering, Machine Learning, or related technical field.
• Proficiency in one or more modern programming languages such as Python, C++, or Java with an understanding of algorithms and data structures.
• Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow) for end-to-end model development.
• 3+ years building production-ready ML infrastructure, including data pipelines, training/inference workflows, and deployment automation.
• Solid understanding of software engineering best practices: version control (Git), unit testing, code review, and CI/CD. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience developing software applications and services with an understanding of design for scalability, performance, and reliability.
• Strong problem-solving skills, attention to detail, and a collaborative mindset when working with research and product teams.

Preferred Qualifications

• MS or Ph.D. in Computer Science, Electrical Engineering, Machine Learning or related technical field.
• Knowledge of professional software engineering practices including source control management, code reviews, testing, and continuous integration/deployment.
• Experience in optimizing training and inferencing structures for large scale ML/DL models.
• Experience deploying machine learning models into production environments (e.g., batch, real-time, or edge deployments).
• Experience in distributed/parallel systems, information retrieval, networking, and systems software development.
• Development experience in a cloud service environment such as Amazon AWS, MS Azure, or Google Cloud Platform.