Intern Agentic AI Developer (Summer 2026)

Capgemini • Chicago, NY

16h • Onsite

About The Position

We are looking for an Intern Agentic AI Developer (Summer 2026) to design, develop, and deploy intelligent AI agents capable of autonomous decision-making, multi-step reasoning, and task execution. The role involves working on cutting-edge AI systems leveraging LLMs, orchestration frameworks, and tool integrations to build scalable, enterprise-grade solutions.

Requirements

• Bachelors or masters in Engineering/Science (Pursuing/Completed)
• Strong programming skills in: Python (mandatory)
• Experience with REST APIs and microservices
• Hands-on experience in: Generative AI / LLMs (OpenAI, Azure OpenAI, Claude, etc.), Retrieval-Augmented Generation (RAG), Vector databases (FAISS, Pinecone, Azure AI Search, etc.)
• Experience with: Agent frameworks (LangChain agents, AutoGen, CrewAI, etc.), Prompt engineering and evaluation techniques
• Understanding of: AI reasoning patterns (ReAct, CoT, multi-step planning), Model deployment (Docker, cloud services like Azure/AWS/GCP)
• Strong problem-solving and analytical thinking
• Ability to work independently and in collaborative environments
• Good communication skills for stakeholder interaction
• Adaptability to fast-evolving AI technologies

Nice To Haves

• Experience with: Multi-agent systems and orchestration, Knowledge graphs or structured reasoning, MLOps / LLMOps tools (evaluation, monitoring, prompt tuning)
• Familiarity with: Cloud platforms (Azure AI Studio, AWS Bedrock, Google Vertex AI)
• Experience in enterprise domains (Manufacturing, MBSE, Engineering systems) is a plus

Responsibilities

• Design and develop AI agents (multi-agent systems, autonomous workflows)
• Build and integrate LLM-based applications using frameworks like: LangChain / LangGraph, Semantic Kernel, AutoGen or similar agent frameworks
• Develop end-to-end GenAI solutions, including: Prompt engineering, Context management (RAG), Tool and API integrations
• Implement agent orchestration pipelines for task planning, execution, and monitoring
• Integrate AI agents with enterprise systems (APIs, databases, business tools)
• Ensure scalability, performance, and cost optimization of AI workflows
• Collaborate with solution architects and business stakeholders to translate use cases into AI-driven solutions
• Ensure responsible AI practices, including safety, governance, and compliance

Benefits

• 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
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Associate degree