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Fastapi Developer Jobs in New York, NY (NOW HIRING)

KPF

Data & Systems Developer Intern

New York, NY · On-site

$22 - $25/hr

You will work closely with our AI Systems Engineer and Junior Data & Systems Developer ... Contribute to simple internal web applications and dashboards built with Flask or FastAPI * Help ...

Hapiko

Senior+ Backend Engineer

Brooklyn, NY · On-site

... fastAPI services for device auth, user management, and webhook integrations. • Create secure ... DevOps mindset, comfortable deploying, monitoring, and scaling • Experience with GenAI/LLM ...

Morgan & Morgan, P.A.

Software Engineer

New York, NY

Design and implement scalable, robust systems across the backend (Python/FastAPI), frontend (React ... Lead code reviews, design reviews, and engineering discussions that result in thoughtful, well ...

Lev

Senior Backend Engineer

New York, NY · On-site

The Role We are looking for a passionate problem solver to join our engineering team. In this role ... Have demonstrable experience building Python APIs in Flask or FastAPI.. * A desire to work in a ...

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 ...

SOCOTEC

Software Engineer

Manhattan, NY · On-site

$100K - $130K/yr

Design and build features end-to-end across modern React frontends and Python (Django / FastAPI ... Help maintain and improve developer practices: CI/CD, testing, documentation, and operational ...

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 ...

Socotec

Software Engineer

Manhattan, NY · On-site

$100K - $130K/yr

Design and build features end-to-end across modern React frontends and Python (Django / FastAPI ... Help maintain and improve developer practices: CI/CD, testing, documentation, and operational ...

Socotec

Software Engineer

Manhattan, NY

Design and build features end-to-end across modern React frontends and Python (Django / FastAPI ... Help maintain and improve developer practices: CI/CD, testing, documentation, and operational ...

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Fastapi Developer information

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How much do fastapi developer jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for fastapi developer in New York, NY is $58.25, according to ZipRecruiter salary data. Most workers in this role earn between $44.52 and $71.30 per hour, depending on experience, location, and employer.

What are some common challenges FastAPI Developers face when integrating third-party services or APIs?

FastAPI Developers often encounter challenges when integrating third-party services, such as handling authentication protocols (like OAuth2), ensuring compatibility between JSON schemas, and managing asynchronous calls to avoid performance bottlenecks. It’s also common to troubleshoot and adapt to inconsistencies in external API documentation or rate limits. Collaborating closely with frontend teams and DevOps professionals helps streamline these integrations, ensuring robust, scalable API solutions.

What is the difference between Fastapi Developer vs Backend Developer?

AspectFastapi DeveloperBackend Developer
Required SkillsPython, Fastapi, REST APIs, async programmingMultiple languages (Python, Java, Node.js), REST/SOAP APIs, databases
Work EnvironmentWeb development, API-focused projects, microservicesBroader software development, server-side logic, database management
Industry UsageTech startups, SaaS, API-driven servicesEnterprise, e-commerce, finance, various industries

Fastapi Developers specialize in building high-performance APIs using Python and Fastapi, often within microservices architectures. Backend Developers have a broader scope, working with multiple languages and technologies to develop server-side applications across various industries. While Fastapi Developers focus on API efficiency, Backend Developers handle comprehensive backend systems.

What are the key skills and qualifications needed to thrive as a FastAPI Developer, and why are they important?

To thrive as a FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and experience with FastAPI, often supported by a background in computer science or related fields. Familiarity with tools like SQL/NoSQL databases, Docker, and cloud platforms, as well as knowledge of asynchronous programming and API documentation tools like Swagger, is typically required. Excellent problem-solving skills, attention to detail, and effective communication set outstanding FastAPI developers apart. These skills are crucial for building reliable, high-performance APIs that meet modern application demands and facilitate seamless team collaboration.

What is a FastAPI Developer?

A FastAPI Developer is a software engineer who specializes in building web applications and APIs using the FastAPI framework, which is a modern, fast (high-performance) web framework for Python. FastAPI Developers are responsible for designing, developing, and maintaining backend services and APIs that are efficient, robust, and scalable. They often work with databases, authentication, and deployment processes, and ensure that the API endpoints adhere to best practices for security and performance. Their work is crucial for enabling smooth communication between front-end applications and backend systems.
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Fastapi Developer jobs near you
Data & Systems Developer Intern

Data & Systems Developer Intern

KPF

New York, NY • On-site

$22 - $25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

KPF is a global architecture and urban design firm known for its innovative approach to the built environment. We are committed to integrating cutting-edge technology into our design process, and we are building an internal data and systems capability to enhance how we work, collaborate, and deliver world-class architecture.
Role Overview
We are looking for a curious and motivated Data & Systems Developer Intern to join our technology team for a summer or semester engagement. In this role, you will get hands-on experience building data pipelines, working with APIs, developing lightweight internal tools, and supporting the infrastructure that powers KPF's AI systems.
You will work closely with our AI Systems Engineer and Junior Data & Systems Developer, contributing to real projects from day one. This is not a passive internship - you will write real code, work with real data, and build things that are actually used.
You will gain hands-on exposure to AI systems, including large language models, retrieval-augmented generation, vector databases, and agentic tools through direct collaboration with our team. This is a role where you'll build real, marketable AI and data engineering skills on the job.
What You'll Work On
Data Pipelines & Data Management
  • Assist in building and maintaining ETL/ELT data pipelines to collect, transform, and load data from internal and external sources
  • Help clean, validate, and structure data to ensure quality and consistency across systems
  • Write SQL queries to extract, transform, and report on data from relational databases (MSSQL, PostgreSQL, MySQL, or similar)
  • Help document data flows, schemas, and pipeline logic

API Integration
  • Connect to and consume REST APIs to pull and process data
  • Assist in building lightweight Python scripts and integrations to automate data collection workflows
  • Learn to handle authentication, pagination, rate limiting, and error handling in API integrations

Web Development & Internal Tools
  • Contribute to simple internal web applications and dashboards built with Flask or FastAPI
  • Help build basic frontend interfaces (HTML/CSS/JavaScript) to expose data and tools to internal users
  • Collaborate with team members to understand needs and iterate on practical solutions

Cloud & Infrastructure Basics
  • Get hands-on experience deploying on AWS using core services such as EC2, S3, and RDS
  • Learn to containerize applications using Docker
  • Follow best practices for environment configuration and basic security

AI Systems Exposure (Learning Opportunity)
  • Assist in preparing and structuring data for ingestion into AI and LLM pipelines (e.g., document chunking, metadata tagging, embedding-ready formatting)
  • Help maintain vector store data ingestion workflows (uploading documents, refreshing indexes)
  • Support the team with data tasks related to RAG (Retrieval-Augmented Generation) systems
  • Gain exposure to knowledge bases and structured data sources that feed conversational AI tools
  • Assist with testing and validating data quality within AI-powered applications

What We're Looking For
Must-Have
  • Python - basic to intermediate proficiency; comfortable writing scripts and small programs
  • SQL - ability to write queries; some experience with relational databases
  • REST APIs - basic understanding of how APIs work; some experience consuming them
  • Git - basic version control; comfortable committing and collaborating on a shared codebase
  • Currently enrolled in a Bachelor's or Master's program in Computer Science, Information Systems, Data Science, or a related field

Nice-to-Have
  • Any exposure to Flask or FastAPI - even a course project counts
  • Basic familiarity with AWS or any cloud platform
  • Some experience with Docker or containerization concepts
  • Exposure to data visualization tools or libraries (D3, Chart.js, etc.)
  • Basic familiarity with LLMs and AI concepts (embeddings, vector search, RAG)
  • Experience with AI coding tools like Claude Code, Cursor, or GitHub Copilot
  • Interest or background in AEC (Architecture, Engineering & Construction) or creative industries

What We're Looking For in a Candidate
  • Genuinely curious and self-motivated - you explore things on your own and enjoy figuring things out
  • Not afraid to ask questions - we'd rather you ask than guess
  • Comfortable in a small, collaborative team where everyone's contribution matters
  • Detail-oriented - you care about getting things right, not just getting them done
  • Able to communicate clearly with team members, including non-technical colleagues
  • A builder mindset - you get excited about creating things that solve real problems

Pay Range:
$22.00 - $25.00 Hourly
Why KPF?
KPF's mission is to elevate cities through impactful design, collaborating closely with the world's most forward-thinking clients to create high performing, carefully crafted buildings that are unique to their physical, social, and environmental contexts.
  • Career Growth: Opportunities for training, development, and career progression.
  • Company Culture: Collaborative, high-performance environment with a focus on innovation and excellence.
  • Benefits: Comprehensive health insurance, including medical, dental, and vision insurance, 401k with company matching contributions, paid time off and other perks.

To Apply:
Applications submitted without a resume will not be considered.
KPF is an equal opportunity employer.

Apply