Demo

GenAI / Agentic AI Developer

Capgemini
Capgemini Salary
York, NY Full Time
POSTED ON 7/31/2026
AVAILABLE BEFORE 10/5/2026

About the Role

We are seeking a hands-on GenAI / Agentic AI Developer to build and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.

This role is ideal for engineers who have experience building production GenAI applications, multi-agent workflows, AI copilots, and intelligent automation solutions using modern AI frameworks and cloud platforms.


What You'll Do

  • Build GenAI applications using LLMs, RAG, agentic workflows, and tool-calling architectures.
  • Develop multi-agent solutions using frameworks such as LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, or LlamaIndex.
  • Design retrieval pipelines using embeddings, vector databases, and semantic search.
  • Develop backend APIs and services using Python, FastAPI, Flask, and microservices.
  • Integrate AI solutions with enterprise systems, APIs, databases, knowledge bases, and document repositories.
  • Deploy and monitor AI solutions using cloud-native technologies and CI/CD pipelines.
  • Implement best practices for evaluation, observability, security, and responsible AI.


Required Skills

  • Professional experience developing applications in Python.
  • Hands-on experience building and deploying GenAI or Agentic AI solutions.
  • Experience with one or more of the following:
  • LangGraph
  • LangChain
  • AutoGen
  • CrewAI
  • Semantic Kernel
  • LlamaIndex
  • Experience implementing RAG solutions using embeddings and vector databases.
  • Experience with OpenAI, Azure OpenAI, AWS Bedrock, Claude, Gemini, Llama, or similar platforms.
  • Experience with REST APIs, cloud platforms, Docker, and modern software engineering practices.


Preferred Skills

  • Multi-agent orchestration
  • Model Context Protocol (MCP)
  • GraphRAG
  • Neo4j / Knowledge Graphs
  • Azure AI Search
  • Pinecone
  • OpenSearch
  • LangSmith
  • MLflow
  • AI Security & Guardrails


Compensation

Base Salary Range: $130,000 – $150,000 USD

Actual compensation will be based on experience, skills, qualifications, and level.

Work Authorization

Candidates must be authorized to work in the United States without current or future employer sponsorship.

Unfortunately, visa sponsorship is not available for this position. Candidates requiring sponsorship now or in the future, including H-1B, OPT/CPT, TN, E-3, L-1, O-1, or similar employment-based sponsorship, cannot be considered.


Apply

Interested candidates should apply through our Applicant Tracking System using the link below:

https://careers.capgemini.com/job-invite/506367/


About Capgemini:

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.

Make it real | www.capgemini.com



Life at Capgemini:

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• 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 : $130,000 - $150,000

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