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Intern Agentic AI Developer; Summer

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Capgemini Holding Inc
Full Time, Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 43000 USD Yearly USD 43000.00 YEAR
Job Description & How to Apply Below
Position: Intern Agentic AI Developer (Summer 2026)
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 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:

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 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…
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