J
Full Stack AI Engineer | Onsite in New York | Local Candidates Only, 5
Jobleads-US
3 hours ago
Full-time
On-site
Location:
New York, NY |
Schedule:
Full-time, onsite five days per week
Overview An early-stage, cutting-edge AI startup in New York City is seeking a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite role based in a Manhattan office, and the company is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up, working closely with the founders to turn ideas into production-ready applications and help shape the company's technical foundation. Candidates must currently live within commuting distance of New York City; remote and hybrid work are not available.
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 third-party 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 structured outputs, tool calling, model routing, and human approval workflows
Build evaluation, monitoring, and testing systems for AI performance
Improve application reliability, scalability, security, latency, 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
Prior experience working at an early-stage startup
Strong experience across frontend and backend development
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, multimodal AI, or voice AI
Strong product judgment and the ability to operate with limited direction
Ability to move quickly while maintaining high engineering standards
Must be actively hands‑on and writing production code
Must currently live within commuting distance of New York City and be able to work onsite five days per week; remote, hybrid, relocation‑dependent, and out‑of‑area candidates will not be considered
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 an opportunity to work directly with founders on a fast-moving, early-stage AI startup, taking full ownership of building AI-native products from zero to one.
#J-18808-Ljbffr
New York, NY |
Schedule:
Full-time, onsite five days per week
Overview An early-stage, cutting-edge AI startup in New York City is seeking a Full Stack AI Engineer with strong zero-to-one product-building experience. This is a fully onsite role based in a Manhattan office, and the company is looking for a highly hands-on engineer who can help build and launch AI-native products from the ground up, working closely with the founders to turn ideas into production-ready applications and help shape the company's technical foundation. Candidates must currently live within commuting distance of New York City; remote and hybrid work are not available.
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 third-party 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 structured outputs, tool calling, model routing, and human approval workflows
Build evaluation, monitoring, and testing systems for AI performance
Improve application reliability, scalability, security, latency, 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
Prior experience working at an early-stage startup
Strong experience across frontend and backend development
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, multimodal AI, or voice AI
Strong product judgment and the ability to operate with limited direction
Ability to move quickly while maintaining high engineering standards
Must be actively hands‑on and writing production code
Must currently live within commuting distance of New York City and be able to work onsite five days per week; remote, hybrid, relocation‑dependent, and out‑of‑area candidates will not be considered
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 an opportunity to work directly with founders on a fast-moving, early-stage AI startup, taking full ownership of building AI-native products from zero to one.
#J-18808-Ljbffr