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Full Stack Ai Engineer Jobs in New York (NOW HIRING)

About the Role We are looking for a Senior Full Stack AI Engineer to build AI-native, customer-facing products for organizations adopting AI at scale. You will work closely with the Tech Lead, own ...

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Build full-stack applications (backend, frontend, data layer, infra, deployment, and monitoring ... Experiment with AI functionality on each case: classical ML when needed (forecasting, scoring ...

Build full-stack applications (backend, frontend, data layer, infra, deployment, and monitoring ... Experiment with AI functionality on each case: classical ML when needed (forecasting, scoring ...

Build full-stack applications (backend, frontend, data layer, infra, deployment, and monitoring ... Experiment with AI functionality on each case: classical ML when needed (forecasting, scoring ...

Full Stack AI Engineer

Lawrence, NY · Remote

$150K - $175K/yr

Build and own full-stack features across our product - from the UI to the backend to the ... Build AI-powered systems and help shape how we integrate them into customer workflows * Make smart ...

Full Stack AI Engineer

Lawrence, NY · On-site

$150K - $175K/yr

Build and own full-stack features across our product - from the UI to the backend to the ... Build AI-powered systems and help shape how we integrate them into customer workflows * Make smart ...

About the Role We are looking for an Full Stack AI Developer to design, build, and deploy intelligent web applications powered by large language models and AI SDKs. You will own features end to end ...

Full-Stack Engineer

New York, NY · On-site

$120K - $240K/yr

We're looking for a full-stack AI engineer who ships production-grade intelligence platforms at 5-10× velocity. In this role, you will: * Own end-to-end full-stack features across React/Next.js ...

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Showing results 1-20

Full Stack Ai Engineer information

See New York salary details

$48.7K

$147.4K

$208.4K

How much do full stack ai engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for full stack ai engineer in New York is $147,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $172,900.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
What job categories do people searching Full Stack Ai Engineer jobs in New York look for? The top searched job categories for Full Stack Ai Engineer jobs in New York are:
What cities in New York are hiring for Full Stack Ai Engineer jobs? Cities in New York with the most Full Stack Ai Engineer job openings:
Infographic showing various Full Stack Ai Engineer job openings in New York as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $147,444 per year, or $70.9 per hour.

Full Stack AI Engineer

Kaizen Soft Solutions, LLC

Manhattan, NY • On-site

Other

Posted 3 days ago

New


Job description

Position: Full Stack AI Engineer
Location: San Francisco, CA & New York City, NY - Onsite
Duration: Full Time
Experience: 8+ years
Candidate Requirement:
  • Candidate must have prior experience working at an early-stage startup.

  • Candidate should have strong full-stack experience across frontend, backend, databases, APIs, cloud infrastructure, and production deployments.

  • Candidate must have practical experience building AI-powered products. API experimentation, personal projects, coursework, or basic chatbot integrations alone will not qualify.

  • 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:
  • 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

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

Preferred Experience:
  • OpenAI, Anthropic, Gemini, or open-source AI models

  • Model Context Protocol and agent orchestration frameworks

  • Lang Graph, Llama Index, Vercel AI SDK, or similar tools

  • Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector

  • Voice AI, WebSocket''s, WebRTC, or real-time streaming systems

  • AI evaluations, observability, prompt injection protection, and model security

  • Docker, AWS, Google Cloud, Azure, or serverless infrastructure

  • 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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