Job Title: AI Engineer

Company Name: O₂ AI

Job Url: https://www.simplyhired.com/job/aRF-tPw-8goL-ZaXTyfPrXGjroSGlWTTH31OKqoi6hagkBEEsQEFrA

Job Description: AI Engineer (Full-time) — O₂ AI
O2Tech, Inc
Remote

Job Details
Full-time
From $70,000 a year
Benefits
Health insurance
401(k)
Flexible schedule
Qualifications
Authentication
Data model design
Blogging
Customer communication
Computer science
UI development
Azure
Node.js
Computer Science
Scientific publications
Data modeling projects
IT system monitoring
GitHub Actions
High availability architecture
Software implementation
System design
English
Google Cloud Platform
MongoDB
Scalable systems
UI design
JavaScript frameworks
Prompt engineering
Automating deployment processes
SQL
Pandas
Technical solutions implementation
Data Architecture Design (Architecture design skills)
AWS
Analysis skills
UX design
Solution architecture design
Docker
Model deployment
Requirements analysis
Redis
SDKs
Algorithm design
Prototype creation
Implementing APIs
Software documentation
Scalability
Developing and maintaining backend systems
Technical troubleshooting support
Open source contribution
Distributed computing
Business requirements
Senior level
SaaS
AI
Log analysis
Research & development
2 years
TypeScript
Prototypes
GitLab
Communication skills
Python
Generative AI
High availability
New product launch experience
System performance monitoring
Full Job Description
AI Engineer (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:

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 Full-time 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 (Core Responsibilities)

End-to-end product and engineering development: From requirement understanding → architecture design → implementation → deployment → iteration, lead the complete product lifecycle

Build and optimize AI Agent / LLM workflows, including:

Context Engineering, RAG (Retrieval-Augmented Generation)
Tool / Function calling, security and risk controls
Agent behavior evaluation, failure mode analysis and optimization
Design and implement enterprise-grade SaaS capabilities:

Authentication, role/permission systems
Data model design and optimization
Multi-tenant architecture
System scalability and performance optimization
Backend systems and data layer construction:

REST API design and implementation
SQL Schema design, index optimization
Database performance tuning
Caching strategies and implementation
Frontend development and user experience:

Build modern UI with React + TypeScript
Implement complex interactions and state management
Optimize frontend performance and user experience
Production environment operations and optimization:

Docker containerization deployment
Cloud service configuration and management (AWS/GCP/Azure)
CI/CD pipeline construction
System monitoring, log analysis, and troubleshooting
Technical decisions and architecture design:

Participate in technology selection and architectural decisions
Code Review and technical standards development
Technical debt management and refactoring
Customer engagement and requirement understanding:

Directly communicate requirements with US customers
Technical solution demos and explanations
Collect feedback and iterate rapidly
What We're Looking ForRequired Skills

Solid computer science foundation

Data structures and algorithms
System design and architecture
Networking and distributed systems basics
Strong full-stack engineering capabilities:

Frontend: React + TypeScript, modern frontend engineering practices
Backend: Python / Node.js, able to build scalable services
At least 2-3 years of practical development experience (or equivalent capability)
AI / LLM / Agent system understanding:

Deep understanding of LLM working principles and limitations
Prompt Engineering and Context design
RAG architecture design and implementation
Multi-step reasoning and Agent behavior design
Database and data modeling:

SQL (PostgreSQL / MySQL)
NoSQL (MongoDB / Redis)
Schema design, query optimization
DevOps and cloud services:

Docker / Kubernetes basics
AWS / GCP / Azure cloud services
CI/CD pipelines (GitHub Actions / GitLab CI)
Excellent engineering discipline:

Code quality awareness, writing maintainable and testable code
Git workflow, Code Review capabilities
Documentation and technical communication skills
Independent problem-solving ability:

Able to independently analyze problems, design solutions, implement features
Proactively seek best practices and optimization approaches
Quickly learn new technologies and tools
Good English communication skills:

Able to conduct technical communication with US customers
Read English technical documentation fluently
Strong Bonus Points

Production-grade SaaS product experience

Fully participated in or led a SaaS product from 0 to 1
Understand enterprise product complexities: security, permissions, multi-tenancy, billing, etc.
Real AI Agent building and deployment experience

Built and deployed complex AI Agents or LLM workflows
Deep understanding of Agent behavior evaluation, failure modes, reliability assurance
Rapid prototyping and product iteration capability

Able to build runnable prototypes in short timeframes (days) to validate ideas
Quickly respond to customer feedback and iterate
System architecture and performance optimization experience

Designed high-concurrency, high-availability systems
Practical experience in performance analysis and optimization
Open source contributions or technical influence

High-quality projects or contributions on GitHub
Technical blogs, talks, active in open source communities
Deep understanding of Context Engineering

Prompt patterns, retrieval, Memory management
Evaluation methods, failure and degradation scenarios
MCP (Model Context Protocol) experience
Familiar with mainstream AI development frameworks

OpenAI SDK / Anthropic SDK
LangChain / LlamaIndex
Or self-built Agent framework experience
Proficient in AI-assisted development tools

Claude Code, Cursor, GitHub Copilot, etc.
Know how to use them efficiently and responsibly
What You'll Get

Competitive compensation and equity

Market-rate salary
Early employee equity incentives
Rapid growth opportunities

Work directly with founding team
Participate in core technical decisions
Access cutting-edge AI technology and real industrial scenarios
Flexible work environment

Remote or Silicon Valley office
Flexible working hours
Support for technical conferences and learning
Career development paths

Technical expert path: Deep dive into technical domains, become an AI Agent domain expert
Management path: Opportunity to lead engineering teams as the team grows
Product path: Deep involvement in product decisions, become technical product lead
Work Location

Remote / Silicon Valley, California

Fully remote or Silicon Valley office both available
Remote work requires significant overlap with US time zones
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

(Please include: GitHub / portfolio / links to deployed systems)

Job Type: Full-time

Pay: From $70,000.00 per year

Benefits:

401(k)
Flexible schedule
Health insurance
Work Location: Remote