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Agentic AI Engineer Intern – AWS Cloud & LLM Automation

Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications

Job Description



About the Opportunity

We’re offering an exciting AI Agentic Engineer Internship Program for passionate students and early-career professionals who want to gain hands-on experience building autonomous AI systems using AWS Agentic AI services.

This 6-month internship gives you real-world exposure to cloud-based agentic systems, LLM orchestration, and AI automation, while earning AWS Certification sponsorship to strengthen your cloud and AI credentials.

You’ll collaborate with our AI engineering team to design, train, and deploy autonomous AI agents capable of reasoning, planning, and acting intelligently across complex workflows in the AWS ecosystem.

Locations: Austin, Dallas, Charlotte, New York, Atlanta, Miami, Washington DC

💼 Unpaid Internship | 6-Month Program | Remote / Hybrid Options | AWS Certification Sponsored

What You’ll Work On
  • Design and build Agentic AI workflows using AWS Bedrock, SageMaker, Lambda, and Step Functions.
  • Develop AI agents that integrate LLMs, APIs, and cloud-native systems.
  • Experiment with LangChain, CrewAI, Bedrock Agents, and Autogen frameworks.
  • Implement Retrieval-Augmented Generation (RAG) pipelines and multi-agent collaboration.
  • Collaborate with mentors on AI prototypes and proof-of-concept projects.
What You’ll Gain
  • 💡 Hands-on experience in real AWS Agentic AI environments.
  • 🎓 AWS Certification sponsorship (exam fee covered upon successful completion).
  • 🧠 Mentorship from experienced AI and cloud engineers.
  • 📜 Certificate of Completion & Letter of Recommendation.
  • 🚀 Potential consideration for a paid role or project-based engagement post-internship.
What We’re Looking For
  • Strong interest in AI, cloud computing, and automation.
  • Basic knowledge of Python and AWS cloud services.
  • Familiarity with LLMs, prompt engineering, and API integration.
  • Problem-solving mindset and eagerness to learn.
  • Excellent communication and collaboration skills.
Bonus Skills
  • Experience with AWS Bedrock, SageMaker, or Step Functions.
  • Familiarity with vector databases (Pinecone, FAISS, OpenSearch).
  • Exposure to agentic AI frameworks or multi-agent orchestration tools.
Program Details
  • 📅 Duration: 6 months
  • 💰 Compensation: Unpaid (AWS Certification Sponsored)
  • 🌍 Mode: Remote / Hybrid (flexible based on city)
  • 🕓 Commitment: ~30–40 hours/week (flexible for students)


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