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# AI Engineer

- **Company:** Capgemini
- **Location:** Waltham, MA, United States
- **Salary:** $86,549.0 - $135,221.0
- **Contract:** Temporary contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Microsoft Azure, Continuous Integration, Data Integration, DevOps, Python (Programming Language), MongoDB, Redis, OpenAI, Azure Machine Learning, Next.js, Software Deployment, TypeScript, Enterprise Search, ReactJS, Retrieval-Augmented Generation, Large Language Models, Generative AI, Git, AI Platforms, LangSmith, Cosmos DB, Front End Software Development, Api Design, GPT, Api Management
- **Published:** October 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8db1bc1277f95f80

## About the Role

* Core skills include Python and asynchronous API development, LangChain/LangGraph/LangSmith agent orchestration, Azure OpenAI, Azure AI Search, RAG, embeddings, and secure enterprise integrations such as the Microsoft Graph.
 * Frontend experience with Next.js, React, and TypeScript is a nice to have, as are Cosmos DB/MongoDB and Redis.

Desired background:

 * Demonstrated experience delivering production AI/LLM applications, particularly agentic workflows and RAG systems.
 * Microsoft Azure experience is preferred; energy or utilities experience is a plus.
 * Able to contribute to end-to-end feature delivery as part of a cross-functional team, including data integration and production deployment.
 * Experienced in building secure, permission-aware enterprise integrations and using Git and CI/CD practices.
 * Produces clear technical documentation and handovers, and can explain architecture and trade-offs to nontechnical stakeholders.

## Description

LLM Frameworks
api development
Production Deployment
Azure AI Services
python development
next.js
DevOps & CI/CD
technical communication

 * Build and improve enterprise AI capabilities, including agent workflows, retrieval-augmented generation (RAG), and API integrations.
 * Collaborate with business stakeholders and engineering to deliver reliable, secure, production-ready solutions across enterprise AI services and applications.