AI Engineer

Capgemini; Waltham (MA); On-site; USD 57,000 - 90,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Retirement benefits

Job summary

Capgemini is building enterprise AI capabilities, delivering agent workflows, RAG systems, and API integrations with a focus on secure, production-ready solutions. Collaboration with business stakeholders and engineering drives reliable, scalable AI services and applications.

The role emphasizes end-to-end feature delivery, secure enterprise integrations, and clear architectural documentation for nontechnical stakeholders. Excellent Azure experience is preferred.

Qualifications

• Production AI/LLM applications experience.
• Agentic workflows and RAG systems delivery.
• Secure, permission-aware enterprise integrations.

Responsibilities

• Build and improve enterprise AI capabilities across services and apps.
• Collaborate with stakeholders and engineering to deliver reliable solutions.
• Contribute to end-to-end feature delivery and production deployment.
• Document architecture and trade-offs for nontechnical stakeholders.

Skills

Python

Asynchronous API development

LangChain

LangGraph

LangSmith

Azure OpenAI

Azure AI Search

RAG

Embeddings

Microsoft Graph

Next.js

React

TypeScript

Cosmos DB

MongoDB

Redis

Tools

Git

CI/CD

Job description

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.

Skills:

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.

The pay range that the employer in good faith reasonably expects to pay for this position is $41.61/hour - $65.01/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.