1

Fastapi Python Jobs in Bronx, NY (NOW HIRING)

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

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

Python Software Engineer Location: Jersey City, NJ (Hybrid) MOI: 1st round virtual, 2nd round F2F ... FastAPI, Flask, or similar • Experience working with: • SQL and NoSQL databases • ...

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

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 ...

Core Skill Set: * Python (advanced, production-grade coding) * Generative AI (LLMs, prompt ... API development and integration (FastAPI, REST, microservices) * Cloud platforms: AWS / Azure / GCP ...

Credit Risk Python Architect

New York, NY · On-site

$111K - $131K/yr

We are seeking a Python developer / solutions architect to drive forward our next-gen model ... If you can connect the dots between Pandas / Polars, FastAPI, Docker, and Kubernetes we want to ...

Showing results 41-60

Fastapi Python information

See Bronx, NY salary details

$13

$61

$89

How much do fastapi python jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for fastapi python in Bronx, NY is $61.07, according to ZipRecruiter salary data. Most workers in this role earn between $50.34 and $69.38 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 Bronx, NY? For Fastapi Python jobs in Bronx, NY, the most frequently searched job titles are:
What job categories do people searching Fastapi Python jobs in Bronx, NY look for? The top searched job categories for Fastapi Python jobs in Bronx, NY are:
What cities near Bronx, NY are hiring for Fastapi Python jobs? Cities near Bronx, NY with the most Fastapi Python job openings:
Sr Gen AI Engineer - NY/NJ

Sr Gen AI Engineer - NY/NJ

Photon

Manhattan, NY

Other

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

Role Summary:
We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices.

Technical Stack:

LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment.

Frameworks: LangChain, LlamaIndex, and Hugging Face.

Orchestration: LangGraph and Multi-Agent Systems (MAS).

Development: Python, FastAPI, and Asynchronous Programming.

RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies.

ML/DL: PyTorch, TensorFlow, and Model Fine-tuning.

Deployment: Docker, Production API management, and LLM monitoring.

Tools: Prompt Engineering, Workflow Design, and GenAI Optimization.

Key Responsibilities:

Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures.

Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval.

Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements.

Design and deploy high-performance, scalable backend services using FastAPI and Async Python.

Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance.

Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools.

Containerize and deploy AI services via Docker to production environments.

Required Qualifications:

Hands-on experience building and deploying GenAI applications in a production setting.

Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.).

Experience with vector search, embedding models, and advanced data retrieval patterns.

Knowledge of model fine-tuning techniques and local LLM quantization/hosting.

Familiarity with production-grade monitoring, API security, and CI/CD for ML.

Compensation, Benefits and Duration

Minimum Compensation: USD 40,000
Maximum Compensation: USD 141,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post