Intern Agentic AI Developer (Summer 2026)

Job Description

Choosing Capgemini means you will be empowered to shape your career, supported and inspired by a collaborative global community, and able to reimagine what’s possible. Join us to help the world’s leading organizations unlock the value of technology and build a more sustainable, inclusive world.

Job Title: Intern Agentic AI Developer (Summer 2026)
Job Location: Any Capgemini Office Location across USA

About 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:
  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

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 (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)
• 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

Compensation

The base compensation range for this role in the posted location is: $43,984 - 105,600 per year.

Capgemini provides compensation range information in accordance with applicable laws. The base range listed reflects the minimum and maximum target compensation Capgemini may pay for the role at the time of posting. This range may change as permitted by law.

The actual compensation offered to any candidate may fall outside the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction, including geographic location, education and qualifications, certifications and licenses, relevant experience and skills, seniority and performance, and market considerations.

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.

Benefits

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 (Vacation: 12-25 days), company 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

Important Notice: Compensation is not earned or payable until due under applicable plans and is subject to Capgemini’s discretion. The company may amend or withdraw compensation programs at any time, within the limits of applicable law.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.

This is a general description of the duties, responsibilities, and qualifications for this position. Capgemini will consider reasonable accommodations to provide equal employment opportunities where needed during recruitment.

Capgemini may capture your image during the interview process, which may be used for verification during hiring and onboarding.

For information on your rights as an applicant in the United States, please visit: http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner helping organizations accelerate toward a digital and sustainable future. With 340,000 team members in more than 50 countries, Capgemini delivers end-to-end services and solutions across strategy, design, engineering, AI, cloud, and data, supported by its industry expertise and partner ecosystem.