Intern Agentic AI Developer (Summer 2026)

CapgeminiCincinnati, OH
$43,984 - $105,600Onsite

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 (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
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