Role Overview We are seeking an Intermediate AI Developer to build intelligent agents and AIpowered components that can reason plan and act across business and technology use cases This role focuses on developing agentic AI solutions enabling memory and tooluse capabilities and building modern AI applications using Python embeddings vector databases and RetrievalAugmented Generation RAGThe ideal candidate has handson 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 agenttoagent communication This role will work closely with prompt engineers and crossfunctional teams to develop scalable secure and productionready 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 cloudbased services and enterprise systems within the Azure environment Contribute to solutions involving MCP server connectivity and A2A agenttoagent communication Test monitor troubleshoot and improve AI application performance and reliability Follow engineering best practices for code quality security version control and CICD Use AI coding agents AMP Claude Code to improve development speed code quality and productivity Required Skills Qualifications Intermediatelevel experience in AI development LLMbased solutions or agentic AI applications Strong programming skills in Python Good understanding of the Azure cloud stack Good understanding of o Embeddings o Vector databases o RetrievalAugmented Generation RAG Familiarity with MCP server concepts and integration Understanding of A2A agenttoagent communication patterns Experience developing or supporting AI solutions with memory and tooluse capabilities Ability to work with prompt engineers and other technical teams to deliver AI solutions Strong problemsolving analytical and collaboration skills Musthave Experience using AI coding agents such as AMP and Claude Code in daytoday development workflows Preferred Qualifications Familiarity with agent frameworks such as LangChain Semantic Kernel AutoGen 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: 125,000 - 135,000 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) 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 disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility