Gen AI / Agentic AI Developer

Capgemini; New York (NY); Hybrid; USD 80,420 - 106,050; Full time

Benefits offered by this job

Flexible work

Healthcare including dental and mental health

Financial well-being programs like 401(k)

Paid parental leave

Social well-being benefits like subsidized child care

Mentoring and learning programs

Job summary

Capgemini is seeking a Gen AI / Agentic AI Developer based in New York City or Charlotte to develop LLM-powered applications and agentic AI solutions. The ideal candidate will have strong experience in Python development and working with agentic frameworks.

This role involves building applications, integrating AI agents with enterprise systems, and deploying environments using CI/CD and cloud platforms. Flexible work, comprehensive healthcare, and financial well-being programs are offered.

Qualifications

• Strong hands-on experience in Python development.
• Experience with OpenAI, Azure OpenAI, AWS Bedrock, Anthropic Claude, or similar.
• Experience with at least one agentic framework like LangGraph or LangChain.

Responsibilities

• Build GenAI applications using LLMs and RAG.
• Develop agentic solutions and implement multi-agent workflows.
• Deploy and monitor GenAI applications using Docker and Kubernetes.

Skills

Python development

Experience with OpenAI

Experience with agentic frameworks

Understanding of RAG and embeddings

Experience with vector stores

Knowledge of REST APIs

Ability to work with structured and unstructured data

Tools

Docker

Kubernetes

CI/CD

FastAPI

Flask

Job description

Gen AI / Agentic AI Developer

Job Location - NYC NY / Charlotte NC (Day One Onsite - Hybrid)

Interview Process

• Candidates must be based in or willing to travel to Chicago IL, New York City NY, Atlanta GA, or Charlotte NC, as the interview process includes an in‑person round

About The Role

• We are looking for a hands‑on GenAI / Agentic AI Developer to build LLM‑powered applications, RAG solutions, and agentic AI workflows for enterprise use cases.

Key Responsibilities

• Build GenAI applications using LLMs, RAG, agents, and tool‑calling workflows.
• Develop agentic solutions using LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or LlamaIndex.
• Design and implement multi‑agent workflows such as planner, retriever, executor, validator, and human‑in‑the‑loop agents.
• Build backend APIs using Python, FastAPI, Flask, REST APIs, and microservices.
• Integrate AI agents with enterprise systems, databases, APIs, document repositories, and cloud services.
• Implement document ingestion, embeddings, vector search, reranking, and retrieval pipelines.
• Deploy and monitor GenAI applications using Docker, Kubernetes, CI/CD, and cloud platforms.
• Support LLMOps including prompt/version management, model evaluation, monitoring, logging, and cost tracking

Required Skills

• Strong hands‑on experience in Python development.
• Experience with OpenAI, Azure OpenAI, AWS Bedrock, Anthropic Claude, Gemini, Llama, or Mistral.
• Hands‑on experience with at least one agentic framework: LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, or LlamaIndex.
• Good understanding of RAG, embeddings, vector databases, semantic search, and prompt engineering.
• Experience with vector stores such as OpenSearch, Pinecone, FAISS, Chroma, Weaviate, Milvus, Azure AI Search, or pgvector.
• Knowledge of REST APIs, cloud deployment, Docker, CI/CD, and software engineering best practices.
• Ability to work with structured and unstructured data including PDFs, documents, APIs, databases, and knowledge bases.

Preferred Skills

• Experience with multi‑agent orchestration, tool calling, memory, planning, reflection, and evaluation.
• Exposure to MCP, Graph RAG, Neo4j, knowledge graphs, or entity extraction.
• Knowledge of LLMOps tools such as LangSmith, MLflow, Phoenix, Ragas, TruLens, Arize, or OpenTelemetry.
• Experience with AWS Bedrock/SageMaker, Azure OpenAI/AI Search, or GCP Vertex AI.
• Understanding of AI guardrails, prompt injection prevention, PII masking, access control, and responsible AI.

Must‑Have

• Candidate should be able to clearly explain at least one end‑to‑end GenAI / Agentic AI project, including problem statement, architecture, tools used, deployment approach, evaluation method, and business impact

Benefits

• Flexible work
• Healthcare including dental, vision, mental health, and well‑being programs
• Financial well‑being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well‑being benefits like subsidized back‑up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

Salary Transparency

The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effe

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue‑based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80420 to $106050 /yearly.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Equal Opportunity Employer Statement

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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.