AI Engineer

AI Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Role Overview

We are seeking an Intermediate AI Developer to build intelligent agents and AI-powered components that can reason, plan, and act across business and technology use cases. This role focuses on developing agentic AI solutions enabling memory and tool-use capabilities and building modern AI applications using Python, embeddings, vector databases, and Retrieval-Augmented Generation (RAG). The ideal candidate has hands-on experience in AI application development, a good understanding of the Azure cloud stack, and familiarity with modern agentic concepts such as MCP server integration and A2A agent-to-agent communication.

This role will work closely with prompt engineers and cross-functional teams to develop scalable, secure, and production-ready AI solutions. Experience using AI coding agents such as AMP and Claude Code is a required skill for this position.

Key Responsibilities

• Build and enhance AI agents and intelligent components that can reason, plan, and act.
• Develop agent capabilities such as memory, tool use, orchestration, and workflow execution.
• Implement AI applications using embeddings, vector databases, and RAG patterns.
• Develop scalable backend services and integrations in Python.
• Collaborate with prompt engineers to improve prompts, agent behavior, and response quality.
• Support integration with cloud-based services and enterprise systems within the Azure environment.
• Contribute to solutions involving MCP server connectivity and A2A agent-to-agent communication.
• Test, monitor, troubleshoot, and improve AI application performance and reliability.
• Follow engineering best practices for code quality, security, version control, and CI/CD.
• Use AI coding agents AMP and Claude Code to improve development speed, code quality, and productivity.

Required Skills Qualifications

• Intermediate-level experience in AI development, LLM-based solutions, or agentic AI applications.
• Strong programming skills in Python.
• Good understanding of the Azure cloud stack.
• Good understanding of embeddings, vector databases, and Retrieval-Augmented Generation (RAG).
• Familiarity with MCP server concepts and integration.
• Understanding of A2A agent-to-agent communication patterns.
• Experience developing or supporting AI solutions with memory and tool-use capabilities.
• Ability to work with prompt engineers and other technical teams to deliver AI solutions.
• Strong problem-solving, analytical, and collaboration skills.
• Must-have experience using AI coding agents such as AMP and Claude Code in day-to-day development workflows.
• Preferred:
  Familiarity with agent frameworks such as Lang Chain, Semantic Kernel, Auto Gen, or similar.
• Experience integrating APIs, tools, and enterprise platforms into AI applications.
• Exposure to model evaluation, observability, and monitoring for AI systems.
• Understanding of testing, deployment pipelines, and software engineering best practices.

The base compensation range for this role in the posted location is: 125,. 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…