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Full Stack AI Engineer | Onsite in San Francisco | Local Candidates Only, 5
All, Software/SaaS
San Francisco, CA
Location: San Francisco, CA (candidates must currently live in the Bay Area) | Schedule: Full-time, onsite five days per week
Overview
An early-stage, cutting-edge AI startup is seeking a Full Stack AI Engineer with strong zero-to-one product-building experience to help build and launch AI-native products from the ground up. This engineer will work closely with the founders to turn ideas into production-ready applications and help shape the company's technical foundation.
What you'll do
- Build, test, launch, and improve full-stack products from zero to one
- Develop modern frontend applications using React, Next.js, or similar technologies
- Build backend services, APIs, databases, and integrations
- Create AI-powered features using large language models and multimodal models
- Build AI agents that can use tools, complete workflows, and interact with external systems
- Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems
- Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems
- Implement model routing, structured outputs, tool calling, and human approval workflows
- Build evaluation, monitoring, and testing systems for AI performance
- Improve application speed, reliability, scalability, security, and AI inference costs
- Work directly with founders, users, and product stakeholders
- Help make product, architecture, and technology decisions
Required qualifications
- 4 or more years of professional software engineering experience
- Proven experience building and launching a product from zero to one
- Strong experience across both frontend and backend development
- Experience working at an early-stage startup
- Strong skills in TypeScript, JavaScript, React, and Next.js
- Backend experience with Node.js, Python, FastAPI, Go, or similar technologies
- Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments
- Hands-on experience integrating large language models into production applications
- Experience with AI agents, RAG, tool calling, embeddings, or multimodal AI
- Strong product judgment and the ability to work with limited direction
- Ability to move quickly while maintaining high engineering standards
- Must currently live within a reasonable commuting distance of San Francisco; this role is fully onsite five days per week and is not open to remote, hybrid, or relocation-dependent candidates
Preferred qualifications
- Experience with OpenAI, Anthropic, Gemini, or open-source AI models
- Familiarity with Model Context Protocol and agent orchestration frameworks
- Experience with LangGraph, LlamaIndex, Vercel AI SDK, or similar tools
- Experience with vector databases such as Pinecone, Qdrant, Weaviate, or pgvector
- Experience with voice AI, WebSockets, WebRTC, or real-time streaming systems
- Experience with AI evaluations, observability, prompt injection protection, and model security
- Experience with Docker, AWS, Google Cloud, Azure, or serverless infrastructure
- Experience as an early, founding, or first engineering hire
Why this role
This is a chance to work directly with founders at an early-stage AI startup, taking full ownership of building AI-native products from zero to one and shaping the company's technical foundation.
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