Position: Full Stack AI Engineer
Location: San Francisco, CA & New York City, NY - Onsite
Duration: Full Time
Experience: 8+ years
Candidate Requirement:
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Candidate must have prior experience working at an early-stage startup.
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Candidate should have strong full-stack experience across frontend, backend, databases, APIs, cloud infrastructure, and production deployments.
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Candidate must have practical experience building AI-powered products. API experimentation, personal projects, coursework, or basic chatbot integrations alone will not qualify.
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Strong candidates will have experience with AI agents, LLM integrations, RAG, model tool calling, multimodal AI, voice AI, evaluations, or real-time AI systems.
About the Role:
Our client is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up. You will work closely with the founders to turn ideas into production-ready applications and help shape the company’s technical foundation.
The right candidate is comfortable working across frontend, backend, infrastructure, and AI systems. You should enjoy fast-moving startup environments, changing requirements, rapid iteration, and taking complete ownership of what you build.
Responsibilities:
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Build, test, launch, and improve full-stack products from zero to one
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Develop modern frontend applications using React, Next.js, or similar technologies
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Build backend services, APIs, databases, and third-party integrations
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Create AI-powered features using large language models and multimodal models
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Build AI agents that can use tools, complete workflows, and interact with external systems
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Develop retrieval-augmented generation, embeddings, vector search, and knowledge systems
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Integrate voice AI, speech-to-text, text-to-speech, or real-time conversational systems
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Implement structured outputs, tool calling, model routing, and human approval workflows
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Build evaluation, monitoring, and testing systems for AI performance
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Improve application reliability, scalability, security, latency, and AI inference costs
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Work directly with founders, users, and product stakeholders
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Help make product, architecture, and technology decisions
Qualifications:
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4 or more years of professional software engineering experience
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Proven experience building and launching a product from zero to one
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Prior experience working at an early-stage startup
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Strong experience across frontend and backend development
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Strong skills in TypeScript, JavaScript, React, and Next.js
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Backend experience with Node.js, Python, FastAPI, Go, or similar technologies
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Experience with PostgreSQL, APIs, cloud infrastructure, and production deployments
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Hands-on experience integrating large language models into production applications
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Experience with AI agents, RAG, tool calling, embeddings, multimodal AI, or voice AI
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Strong product judgment and the ability to operate with limited direction
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Ability to move quickly while maintaining high engineering standards
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Must be actively hands-on and writing production code
Preferred Experience:
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OpenAI, Anthropic, Gemini, or open-source AI models
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Model Context Protocol and agent orchestration frameworks
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Lang Graph, Llama Index, Vercel AI SDK, or similar tools
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Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector
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Voice AI, WebSocket''s, WebRTC, or real-time streaming systems
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AI evaluations, observability, prompt injection protection, and model security
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Docker, AWS, Google Cloud, Azure, or serverless infrastructure
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Experience as an early, founding, or first engineering hire
Know anyone who might be interested?
Kindly let me know if you have any Suitable Candidates available for this opportunity.
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