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AI Engineer Internship

O2Tech, Inc
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AI Engineer (Internship - Conversion to Full-time) — O₂ AI

Just as Harvey is transforming the legal industry, O₂ AI is building a Vertical AI Agent for the global semiconductor and electronics supply chain.

Company Website: https://o2tech.ai/

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: delivering core features, improving system reliability, and continuously expanding applications and the AI workflows behind them.

 

 

Why Join Us?

Elite Founding Team

Work alongside founders from Yale, UC Berkeley, Stanford, and MIT, who bring both world-class academic foundations from top research labs and real-world "battle scars" from industry frontlines. Gain continuous access to firsthand insights and perspectives from Silicon Valley's startup and technology frontier.

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, building production-grade AI Agents that are truly deployed and operational.

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 MIT

O₂ AI collaborates deeply with MIT Media Lab to advance frontier AI research in real industrial scenarios, with opportunities to conduct joint research with the MIT team, publish papers, and translate research outcomes into production-grade vertical AI Agents.

 

 

What You'll Work On (Real Engineering Experience)

Participate in end-to-end product and engineering workflows: From requirement understanding → implementation → deployment → iteration, truly participate in the product lifecycle

Build and optimize AI Agent / LLM workflows, including:

  • Context Engineering, RAG (Retrieval-Augmented Generation)
  • Tool / Function calling, foundational security and risk controls

Participate in designing and implementing enterprise-grade SaaS capabilities:

  • Authentication, role/permission systems, data models, etc.

Contribute to backend systems and data layer construction:

  • API design, SQL Schema
  • Foundational performance and stability optimization

Exposure to real production environments:

  • Docker, cloud services, CI/CD
  • Gradually build understanding of production systems under engineer guidance

 

 

Foundation We Hope You Have

Computer Science-related background (CS / EE / Software Engineering / AI, etc.)

Solid programming ability, familiar with some or all of the following:

  • React + TypeScript (frontend)
  • Python / Node.js (backend)

Genuine interest in AI / LLM / Agent systems (Course projects, research, personal projects, hackathons are all completely OK)

Familiar with or willing to dive deep into:

  • Prompt / Context design
  • Retrieval (RAG)
  • Multi-step reasoning and Agent behavior

Patience and enthusiasm for writing code, debugging systems, and solving real problems

 

 

But We Welcome High-Potential Students!

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!

 

 

Bonus Points

Full-stack engineering background, having truly launched and maintained a SaaS product (enterprise SaaS experience is a plus)

Extremely strong rapid prototyping ability (0 → 1) Able to transform abstract ideas into runnable demos/prototypes in days rather than weeks, for validating technical feasibility and product value

Real Agent building experience, having built and deployed AI Agents or complex LLM workflows, understanding:

  • Tool calling, multi-step reasoning
  • Agent behavior evaluation and failure modes

React + TypeScript capabilities, valuing UX details and maintainable frontend architecture

Proficient in using Python / Node.js to build scalable REST APIs, AI orchestration logic, and complex data processing

Familiar with database systems:

  • SQL, NoSQL, including Schema design, indexing, and query performance optimization

Deep understanding of Context Engineering:

  • Prompt patterns, retrieval, Memory
  • Evaluation methods, failure and degradation scenarios (MCP experience is a plus)

Familiar with OpenAI SDK / Google ADK / LangChain / LlamaIndex or self-built Agent frameworks

Proficient in "vibe coding" / AI development tools Such as Claude Code, Cursor, etc., and knowing how to use them responsibly

 

 

Work Location

Remote / Silicon Valley, California


If you truly want to build products, write systems, and growIf you're curious and passionate about startups Welcome!

We're willing to work with you to turn ideas into impact and grow together!

📮 Resume submission: estelle.zhang@o2tech.ai OR leo.chng@o2tech.ai

(If you have GitHub / portfolio / links to deployed systems, please include them)