Note: The job is a remote job and is open to candidates in USA. O₂ AI is building vertical AI agents for the global semiconductor and electronics supply chain, serving real customers and Fortune 500 companies. The AI Engineer will own product engineering end-to-end, including building agentic workflows, production backend services, APIs, databases, evaluation pipelines, and cloud infrastructure. The role involves translating customer problems and frontier AI research into reliable, production-grade systems.
Responsibilities
- Build and improve agentic workflows and systems
- Design and implement REST/GraphQL APIs with proper auth (OAuth2/JWT), input validation, and rate limiting
- Write and migrate SQL schemas, normalize where it matters, denormalize where performance demands it
- Implement RBAC or ABAC permission models that actually map to business requirements
- Containerize services (Docker), write CI/CD pipelines, deploy to AWS/GCP
- Set up logging, metrics, and alerts
Skills
- Strong coding fundamentals: at minimum, solid in Python. You can read, write, debug, and reason about code under pressure, with strong experiences coding agent workflow, training, or evaluation
- AI-native building ability: you know how to use AI tools (Claude Code, Cursor, Copilot, etc.) to prototype, iterate, and ship quickly. You don't just prompt, but build systems around prompts
- Fast learner: you can pick up new stacks, APIs, codebases, and business domains with minimal hand-holding
- Product and systems sense: you can look at a messy business process and start to see where the data flows, where the agent should act, and where a human should stay in the loop
- Ownership under ambiguity: Ask the right questions, not waiting until everything is ready, make reasonable assumptions, build a prototype, and iterate from there
- Patience and enthusiasm for writing code, debugging systems, and solving real problems
- As long as you have a solid computer science foundation, good engineering discipline, and a strong desire to build, this will be an exceptionally valuable hands-on opportunity!
- General Computer Science background (CS / EE / Software Engineering / AI, etc.)
- Familiar with relevant technical stacks (React + TypeScript ; Python / Node.js)
- Strong background in AI / LLM / Agent systems (hackathon awards, course project awards, strong GPA in CS/AI/ML courses, publications, open-source projects, etc)
- Familiar with or willing to dive deep into:
- • Context Engineering / Harness Engineering
- • Multi-step reasoning and Agent behavior
- • General Problem solving
Benefits
- Direct opportunities to communicate with customers and collaborate with Fortune 500 electronics and semiconductor companies
- Opportunities for joint research, publications, and turning research insights into shipped products
- Hands-on practical experience participating in the complete product and engineering process from problem definition and solution design to product launch and continuous iteration
- Remote work option
Company Overview