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Fastapi Python Jobs in Queens, NY (NOW HIRING)

Newcode.ai

Senior FastAPI Developer

New York, NY

$59.50 - $78.75/hr

Python: 6+ years * FastAPI: 3+ years * PostgreSQL / SQL * Redis: 2+ years Nice to have: RAG or vector search experience; LangChain or LlamaIndex; streaming over SSE, WebSocket or SignalR; Microsoft ...

Newcode.ai

Senior FastAPI Developer

New York, NY · On-site

$59.50 - $78.75/hr

Python: 6+ years * FastAPI: 3+ years * PostgreSQL / SQL * Redis: 2+ years Nice to have: RAG or vector search experience; LangChain or LlamaIndex; streaming over SSE, WebSocket or SignalR; Microsoft ...

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY · On-site

Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY

Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...

Cliff Services Inc

AI/LLM Eng

Jersey City, NJ · On-site

... Python backend development (FastAPI/Flask) API integrations and workflow orchestration Deep Learning & Machine Learning (model training, fine-tuning, evaluation PyTorch/TensorFlow) Good to have:

Phoebe

Fullstack Engineer

New York, NY · On-site

$180K/yr

FastAPI / Python on the backend * Postgres (RDS) * Twilio for voice and SMS * LLMs throughout * AWS * Linear, Notion You're a Good Fit If * You're a strong generalist who can work across the stack

Spara, Inc

Senior AI Engineer

New York, NY · On-site

$180K - $230K/yr

FastAPI/Python, React/TypeScript, Postgres + pgvector, multiple foundation models (OpenAI, Anthropic), Google Cloud, Docker, GitHub Actions. What We're Looking For * 4+ years of engineering ...

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Fastapi Python information

See Queens, NY salary details

$13

$61

$90

How much do fastapi python jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for fastapi python in Queens, NY is $61.17, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.47 per hour, depending on experience, location, and employer.

What is the difference between Fastapi Python vs Django Developer?

AspectFastapi PythonDjango Developer
Primary FocusBuilding high-performance APIsDeveloping full-stack web applications
FrameworkFastapiDjango
Work EnvironmentBackend API services, microservicesWeb applications, content management systems
Required SkillsPython, asynchronous programming, REST APIsPython, Django framework, HTML/CSS, databases

Fastapi Python developers specialize in creating fast, scalable APIs using the Fastapi framework, often for microservices and backend systems. Django developers focus on building comprehensive web applications with integrated features. Both roles require Python, but Fastapi emphasizes performance and asynchronous programming, while Django offers a full-stack solution.

What are popular job titles related to Fastapi Python jobs in Queens, NY? For Fastapi Python jobs in Queens, NY, the most frequently searched job titles are:
What job categories do people searching Fastapi Python jobs in Queens, NY look for? The top searched job categories for Fastapi Python jobs in Queens, NY are:
What cities near Queens, NY are hiring for Fastapi Python jobs? Cities near Queens, NY with the most Fastapi Python job openings:
Fastapi Python jobs near you

Senior FastAPI Developer

Newcode.ai

New York, NY

$59.50 - $78.75/hr

Full-time

Posted 10 days ago

Job description

Who are we?

We build AI tools for firms in legal and professional services: software people use for real work, not demos. We started a few months ago and already have paying clients who rely on what we ship. The team is small and moving fast.

The role

You'll own the backend behind our AI features. That's the APIs, the data pipelines, and the orchestration sitting between our product and the language models doing the work. In practice it means running retrieval over large sets of documents, getting dependable results out of LLMs and their tool calls, streaming responses to the UI, and processing long jobs in the background without things falling over. 


It isn't CRUD work. The hard parts here are keeping AI systems accurate and fast with confidential data, at production scale. You'll make architecture calls early and live with them.

Requirements

What You'll Do
  • Designing and building the APIs and services our products run on. 
  • Working on the AI plumbing: retrieval, orchestration, tool-calling, response streaming, and the evals that tell us whether the output is any good. 
  • Keeping async and distributed work reliable: document ingestion, embeddings, and long-running jobs on Redis. 
  • Building integrations with the systems clients already use, like email and document stores, and making them hold up under load. 
  • Taking data security and isolation seriously, since clients hand us confidential material. 
Who You Are
  • At least seven years building backend systems that run in production. Depth matters more to us than the number. 
  • You think about how things fail, not just how they behave when everything's fine. 
  • You've built real LLM-powered systems, or you're itching to: RAG, tool-calling, agents. You know where they tend to break. 
  • You use AI coding tools (Claude Code, Cursor, Copilot) and use them well. Faster output, but you understand and stand behind every line; you wouldn't approve sloppy AI-written code in review, so you don't ship it either. 
  • You're fine in a startup that changes direction. Decisions get made, then revisited. 
Experience we expect with the stack: 
  • Python: 6+ years 
  • FastAPI: 3+ years 
  • PostgreSQL / SQL 
  • Redis: 2+ years 

Nice to have: RAG or vector search experience; LangChain or LlamaIndex; streaming over SSE, WebSocket or SignalR; Microsoft Graph and email integration work.

Benefits

Why Join Us?
  • Be a driver of innovation in one of Oslo's most exciting AI ventures
  • Work with talented peers in a collaborative, high-energy team
  • Shape both product and culture as we grow
  • Flexible, English-speaking environment

Apply