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Intern Agentic AI Developer; Summer
Job in
Atlanta, Fulton County, Georgia, 30383, USA
Listed on 2026-06-02
Listing for:
Capgemini
Full Time, Seasonal/Temporary, Apprenticeship/Internship
position Listed on 2026-06-02
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
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.
Job Description
Job Title:
Intern Agentic AI Developer (Summer 2026)
Job Location:
Any Capgemini Office Location across USAAbout the job you’re considering
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.
Your Role Design and develop AI agents (multi-agent systems, autonomous workflows)
Build and integrate LLM-based applications using frameworks like:
Lang Chain / Lang Graph Semantic Kernel Auto Gen 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
Your Skills and Experience Bachelors or masters in Engineering/Science (Pursuing/Completed)
Technical Skills 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 (Lang Chain agents, Auto Gen, 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)
Preferred Skills
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 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
The base compensation range for this role in the posted location is: $43,/Year 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 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…
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