AI Engineering Graduate Program
Core
Build real-world Agentic AI solutions, design AI agents, and develop practical skills in prompt architecture, RAG, and agent evaluation.
Role type
Applied AI Engineering Graduate (hands-on IC)
Builds
Working Agentic AI solutions for real-world business problems
Domain
Generative AI, Agentic AI, Applied AI
Deliverable
production ML models
Required skills
Software engineering foundations, Cloud concepts (AWS/GCP), Prompt architecture, Function and tool calling, Context and state management, Retrieval Augmented Reasoning (RAG), AI guardrails, Agent evaluation, Human-in-the-loop workflows
Preferred skills
Curiosity about Generative AI, Problem-solving mindset, Experience building and experimenting
Technologies
AWS, GCP, Claude, V2 AI AI Dojo
Responsibilities
Build AI agents that can perceive, reason, and act; Develop prompt architecture and behavioral specifications; Apply RAG and build AI guardrails; Design human-in-the-loop workflows; Present solution architecture and engineering decisions to mentors
Seniority
Graduate, hands-on IC
