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Internship Fastapi Developer Jobs in New York, NY

KPF

Data & Systems Developer Intern

New York, NY · On-site

$22 - $25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is not a passive internship - you will write real code, work with real data, and build things ... Contribute to simple internal web applications and dashboards built with Flask or FastAPI * Help ...

Tata Consultancy Service Limited

Full Stack Engineer

New York, NY · On-site

$115K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... internship, or professional projects. • Strong Python development skills, including building ... FastAPI, Flask, or equivalent for building REST APIs and backend services • SQL: SELECT, JOIN ...

Makai Labs LLC

AI Engineer

New York, NY · On-site

$115K - $130K/yr

  • Medical

  • Retirement

  • PTO

Experience building AI applications through internships, coursework, research, or personal projects ... Familiarity with FastAPI, Flask, or similar backend frameworks * Familiarity with React and ...

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Internship Fastapi Developer information

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$12

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How much do internship fastapi developer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for internship fastapi developer in New York, NY is $25.05, according to ZipRecruiter salary data. Most workers in this role earn between $20.24 and $26.54 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an internship FastAPI developer, and why are they important?

To thrive as an Internship FastAPI Developer, you need a solid understanding of Python programming, RESTful API principles, and basic web development concepts, typically supported by coursework or personal projects. Familiarity with FastAPI, version control systems like Git, and tools such as Docker or Postman is commonly expected. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate with teams and adapt quickly. These capabilities are crucial for delivering efficient, maintainable APIs and contributing meaningfully in a professional development environment.

What types of projects and tasks can an internship FastAPI developer expect to work on during their internship?

As an Internship FastAPI Developer, you will typically work on building and maintaining RESTful APIs using the FastAPI framework. Your daily responsibilities may include writing endpoint logic, integrating with databases, writing automated tests, and collaborating with senior developers during code reviews. Interns often participate in agile ceremonies and may be assigned independent features or bug fixes, providing valuable hands-on experience. This collaborative environment helps interns develop both technical and teamwork skills, and high-performing interns may have opportunities for full-time employment or advanced roles after their internship.

What is an internship FastAPI developer?

An Internship FastAPI Developer is an intern who focuses on building web applications and APIs using the FastAPI framework, which is a modern, high-performance web framework for Python. During the internship, the developer typically works under supervision to learn best practices in API design, Python programming, and web development. Responsibilities may include writing code, debugging, testing APIs, and collaborating with other team members on projects. The internship provides practical experience and helps interns build skills that are valuable for a career in backend or full-stack development.

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Data & Systems Developer Intern

KPF

New York, NY • On-site

$22 - $25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 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