J
Full Stack AI Engineer | Onsite in San Francisco | Local Candidates Only, 5
Jobleads-US
3 hours ago
Full-time
On-site
San Francisco, California, United States
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 securityExperience 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.
#J-18808-Ljbffr
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 securityExperience 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.
#J-18808-Ljbffr