Full Stack AI Engineer | Onsite in New York | Local Candidates Only, 5

\We are partnering with an early-stage, cutting-edge AI startup in New York City to hire a Full Stack AI Engineer with strong zero-to-one product-building experience.This is a fully onsite position. Candidates must currently live within commuting distance of New York City and be able to work from the company’s Manhattan office five days per week. Please do not apply if you are seeking remote or hybrid work.About the RoleOur 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.ResponsibilitiesBuild, test, launch, and improve full-stack products from zero to oneDevelop modern frontend applications using React, Next.js, or similar technologiesBuild backend services, APIs, databases, and third-party integrationsCreate AI-powered features using large language models and multimodal modelsBuild AI agents that can use tools, complete workflows, and interact with external systemsDevelop retrieval-augmented generation, embeddings, vector search, and knowledge systemsIntegrate voice AI, speech-to-text, text-to-speech, or real-time conversational systemsImplement structured outputs, tool calling, model routing, and human approval workflowsBuild evaluation, monitoring, and testing systems for AI performanceImprove application reliability, scalability, security, latency, and AI inference costsWork directly with founders, users, and product stakeholdersHelp make product, architecture, and technology decisionsQualifications4 or more years of professional software engineering experienceProven experience building and launching a product from zero to onePrior experience working at an early-stage startupStrong experience across frontend and backend developmentStrong skills in TypeScript, JavaScript, React, and Next.jsBackend experience with Node.js, Python, FastAPI, Go, or similar technologiesExperience with PostgreSQL, APIs, cloud infrastructure, and production deploymentsHands-on experience integrating large language models into production applicationsExperience with AI agents, RAG, tool calling, embeddings, multimodal AI, or voice AIStrong product judgment and the ability to operate with limited directionAbility to move quickly while maintaining high engineering standardsMust be actively hands-on and writing production codePreferred ExperienceOpenAI, Anthropic, Gemini, or open-source AI modelsModel Context Protocol and agent orchestration frameworksLangGraph, LlamaIndex, Vercel AI SDK, or similar toolsVector databases such as Pinecone, Qdrant, Weaviate, or pgvectorVoice AI, WebSockets, WebRTC, or real-time streaming systemsAI evaluations, observability, prompt injection protection, and model securityDocker, AWS, Google Cloud, Azure, or serverless infrastructureExperience as an early, founding, or first engineering hireIdeal CandidateYou are a builder who prefers creating new products over maintaining mature systems. You are comfortable wearing multiple hats, making decisions quickly, and turning incomplete ideas into products customers can use.You understand that strong AI products require more than connecting an application to a model API. You know how to build dependable workflows, evaluate output quality, manage latency and cost, and create safeguards around AI-generated actions.Candidates whose experience is exclusively with FAANG companies, large enterprises, or mature technology organizations will not be considered. FAANG experience is welcome when combined with meaningful early-stage startup and zero-to-one product experience.Location RequirementThis position is onsite in Manhattan five days per week.Candidates must already live within a reasonable commuting distance of New York City. Remote, hybrid, relocation-dependent, and out-of-area candidates will not be considered.