Founding AI Engineer
At O₂ AI, we are building a Vertical AI Agent for the global semiconductor and electronics supply chain, just as Harvey is transforming the legal industry.
We build deeply vertical AI Agents capable of handling high-stakes, high-complexity challenges in global manufacturing systems, transforming chaos into efficient, intelligent automated execution.
We are looking for a hands-on Builder to own product engineering end-to-end: from understanding real customer problems, to designing and shipping AI-native systems, to iterating in production.
Why Join Us?
Elite Founding Team
Work alongside founders & early members from Yale, Northwestern, NUS, Columbia, Stanford and MIT, with experience across DeepSeek, NVIDIA, and Microsoft, etc.. We are a team that cares equally about frontier AI and real product execution.
We ship: (1) systems used by real customers, (2) awarded publications at top venues.
Real Customers, Real Impact
At O₂ AI, we provide you with direct opportunities to communicate with customers. You will interface directly with US clients and collaborate with Fortune 500 electronics and semiconductor companies. Our products span three layers:
● Electronic Vertical AI Agent — domain-specific knowledge assistance that understands industry context deeply enough to be trusted by experts.
● ERP Workflow Agent — automating complex operational workflows with real permissions, real data flows, and real state management.
● Pricing Decision Agent — high-stakes decision support where accuracy and reliability directly affect business outcomes.
Your code will touch real users, real operational constraints, and real revenue.
True 0 → 1 Ownership
At O₂ AI, we create opportunities for you to deeply engage in product and engineering. You will participate in the complete process from problem definition and solution design to product launch and continuous iteration, gaining highly hands-on practical experience and witnessing the real-world impact of your work in customer business scenarios.
Co-creating Cutting-edge AI with Frontier Labs
O₂ Lab, our downstream research-driven lab, collaborates deeply with Northwestern MLL Lab and MIT Media Lab. Members of the founding team have been recognized at venues such as NeurIPS LAW (Outstanding Paper) and ICCV SP4V (Best Paper), with 10k+ github stars, Huggingface #2 paper of the day, and invited talks at DeepMind, MIT, etc.
We focus on translating research into production-grade vertical AI systems. You will have opportunities for joint research, publications, and turning research insights into shipped products.
What You'll Work On
Participate in end-to-end product and engineering workflows. You are expected to participate in at least one of the following terms in the product lifecycle:
Build and improve agentic workflows and systems
● Agent architectures: context engineering, harness engineering (orchestration logic, routing, fallback chains, state management across turns).
● Backend Services: implement tool/function calling integrations (APIs, databases, internal services) and handle the messy edge cases: timeouts, malformed responses, cost tracking.
● Evaluation pipelines: think about failure modes like prompt injection, data leakage through context, runaway agent loops, cost blowups.
● Research-driven exploration: LLM agent training, reinforcement learning, continual learning for evolving domains, improving performance and publishing papers / open-source projects.
Ship backend code in a real production system
● 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.
Operate what you build
● Containerize services (Docker), write CI/CD pipelines, deploy to AWS/GCP.
● Set up logging, metrics, and alerts.
Foundation We Hope You Have
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.
Nice to have:
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
Patience and enthusiasm for writing code, debugging systems, and solving real problems
We Welcome High-Potential Builders!
If you don't yet have extensive experience or haven't built a complete production-grade product from 0 to 1, that's totally fine.
At O₂ AI, we are very happy to work with engineers who have solid coding abilities and learn quickly to build products together. This is an environment that allows you to truly participate in real systems and grow rapidly.
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!
Work Location
Remote / Silicon Valley, California
Resume submission: engineer@o2tech.ai
- If you have GitHub / portfolio / links to deployed systems, please feel free to include them!
