AI Engineer (Full-time) — O₂ AI
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: [email protected] OR [email protected]
(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
Apply Now
Apply Now
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: [email protected] OR [email protected]
(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
Apply Now
Apply Now