GEN AI Developer

Capgemini; New York (NY); On-site; USD 86,000 - 150,000; Full time

Benefits offered by this job

Paid time off (Vacation)

Medical, dental, and vision coverage

Retirement savings plans (401(k))

Life and disability insurance

Employee assistance programs

Other benefits as provided by local 정책

Job summary

Capgemini is seeking a GEN AI Developer to design, develop, and deploy end-to-end AI/ML applications using Python and modern frameworks (LangChain, PyTorch, TensorFlow). You will build LLM-powered solutions, ML pipelines, and AI-driven integrations, collaborating with product and engineering teams to translate strategic requirements into AI-driven technical solutions.

The role emphasizes hands-on model development, deployment to cloud, and ongoing experimentation with emerging AI technologies to

Qualifications

• Strong hands-on experience with Python for AI/ML development.
• Proficiency with PyTorch or TensorFlow.
• Experience developing LLM-based applications using LangChain and vector DBs (FAISS, Chroma, Pinecone).
• Designing end-to-end ML pipelines including training, validation and deployment.
• Solid understanding of ML, NLP and deep learning architectures.
• Experience with APIs, microservices and cloud deployment.

Responsibilities

• AI/ML Model Development: Design, build and optimize models using PyTorch/TF.
• LLM Generative AI Solutions: Develop applications powered by LLMs with LangChain and vector DBs.
• Python-based Application Development: Build scalable AI services and backend components.
• Data Engineering Pipelines: Prepare and manage datasets, feature pipelines, and training workflows.
• Model Deployment/MLOps: Deploy models into production via APIs, containers, CI/CD, and cloud platforms.
• Evaluation Optimization: Tune and evaluate models for accuracy and efficiency.
• Cross-functional Collaboration: Work with product, engineering and business teams to translate requirements into AI solutions.
• Experimentation/Research: Stay updated on AI tech and prototype innovative solutions.

Skills

Python for AI/ML

PyTorch or TensorFlow

LangChain embeddings

APIs & microservices

Cloud deployment

ML pipelines

NLP concepts

Tools

LangChain

FAISS

Chroma

Pinecone

Docker

CI/CD

Job description

We are seeking a highly skilled GEN AI Developer with strong expertise in building end to end AI/ML applications using Python and modern AI frameworks such as LangChain PyTorch and TensorFlow. The role involves designing developing and deploying intelligent solutions including LLM powered applications machine learning models automation pipelines and AI driven integrations

Responsibilities

• AI/ML Model Development: Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and related frameworks
• LLM Generative AI Solutions: Develop applications powered by Large Language Models using LangChain vector databases embeddings and prompt orchestration frameworks
• Python Based Application Development: Build scalable AI services automation tools and backend components using Python
• Data Engineering Pipelines: Prepare transform and manage datasets build feature pipelines and model training workflows
• Model Deployment MLOps: Deploy models into production using APIs containerization Docker CICD and cloud platforms
• Evaluation Optimization: Perform model tuning evaluation and performance optimization to ensure accuracy efficiency and reliability
• Cross Functional Collaboration: Work closely with product engineering and business teams to translate strategic requirements into AI driven technical solutions
• Experimentation Research: Stay up to date with emerging AI technologies evaluate new tools and prototype innovative solutions

Required Skills

• Strong hands on experience with Python for AI/ML development
• Proficiency with PyTorch TensorFlow or similar deep learning frameworks
• Experience developing LLM based applications using LangChain embeddings vector databases FAISS Chroma Pinecone or similar technologies
• Ability to design and implement end to end ML pipelines training validation deployment
• Strong understanding of machine learning concepts NLP and deep learning architectures
• Solid experience with APIs microservices and cloud based deployment
• Strong analytical debugging and problem solving skills

The base compensation range for this role in the posted location is: 85,687 - 149,930

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.