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Fastapi Jobs in Massachusetts (NOW HIRING)

Farsyt

Founding Software Engineer

Cambridge, MA · On-site

Technical Stack Python (Django/DRF, FastAPI), React/TypeScript, PostgreSQL, Redis, Celery, AWS, Gemini/OpenAI/Anthropic APIs, Pydantic AI/LangChain, Docker You don't need experience with everything ...

The Hollister Group

AI Developer

Boston, MA · On-site

$70 - $110/hr

Develop and maintain Python-based AI applications and APIs using frameworks like FastAPI, Flask, or LangChain. * Integrate observability and model monitoring solutions using Prometheus, CloudWatch ...

Redfish Recruiting

Proficiency in Python (FastAPI), TypeScript (Next.js), PostgreSQL, AWS, Docker. Experience with LLM APIs (e.g., GPT, Claude) and/or vector DBs (e.g., Pinecone) is a big plus. * Product Mindset

Farsyt

Founding Senior Software Engineer

Cambridge, MA · On-site

$133K - $176K/yr

Technical Stack Python (Django/DRF, FastAPI), React/TypeScript, PostgreSQL, Redis, Celery, AWS, Gemini/OpenAI/Anthropic APIs, Pydantic AI/LangChain, Docker You don't need experience with everything ...

Motion Recruitment

Full Stack Engineer

Cambridge, MA · On-site

... FastAPI • Strong proficiency with TypeScript and React • Experience with PostgreSQL and modern database design • Experience building applications on AWS • Experience with Docker and cloud ...

Recorded Future

Principal Software Engineer

Boston, MA · On-site

$146K - $196K/yr

... or FastAPI. • Proven experience architecting and delivering production-grade applications and ETL/ELT pipelines. • Strong understanding of building reliable data pipelines, including ...

Knak Digital

AI Engineer

Becket, MA · Remote

Experience building and deploying backend services and APIs (FastAPI, Flask, or similar) * Experience with at least one major LLM provider: OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex, or open ...

Klaviyo

Senior AI Engineer - Customer Agent

Boston, MA

$113K - $155K/yr

Proficient in Python and modern backend frameworks (FastAPI, Django preferred). * Experience creating human and automated evals to ensure high AI model quality. * Proficient in big data tools such as ...

Hatch IT

Senior Software Engineer

Boston, MA

$133K - $175K/yr

Developing RESTful APIs (using frameworks such as FastAPI) secured by OAuth2/Auth * Integrating asymmetric and/or symmetric encryption in applications * Thorough working knowledge of data structures ...

Level.

Full Stack Engineer

Boston, MA

FastAPI * Databases & Storage * Amazon DynamoDB * PostgreSQL * S3 * Frontend * React/Nextjs * Typescript Our values * Customer-first - we focus on solving real customer problems. * Bias to action ...

Hatch IT

Senior Software Engineer

Boston, MA

$133K - $175K/yr

Developing RESTful APIs (using frameworks such as FastAPI) secured by OAuth2/Auth * Integrating asymmetric and/or symmetric encryption in applications * Thorough working knowledge of data structures ...

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Fastapi information

See Massachusetts salary details

$128.2K

$144.8K

$163.6K

How much do fastapi jobs pay per year?

As of Jul 13, 2026, the average yearly pay for fastapi in Massachusetts is $144,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,315.00 and $150,188.00 per year, depending on experience, location, and employer.

Do any big companies use FastAPI?

Several large companies and organizations use FastAPI for building high-performance APIs due to its speed and ease of use with Python. Notable examples include Microsoft, Netflix, and Uber, which leverage FastAPI in various projects to improve scalability and developer productivity.

What is a FastAPI worker?

A FastAPI worker is a process that runs an instance of a FastAPI application, handling incoming HTTP requests in a production environment. It is typically managed by an ASGI server like Uvicorn or Gunicorn, which can spawn multiple workers to improve concurrency and performance. Understanding how to configure and scale FastAPI workers is important for deploying high-performance APIs.

Is Netflix using FastAPI?

There is no publicly available information confirming that Netflix uses FastAPI in its technology stack. Netflix primarily relies on Java, Python, and other frameworks for its backend services. FastAPI is a popular Python web framework known for its speed and ease of use, but its adoption by specific companies like Netflix is not publicly documented.

What are the key skills and qualifications needed to thrive in the Fastapi position, and why are they important?

To thrive as a FastAPI Developer, you need strong proficiency in Python, REST API design, and knowledge of web frameworks, ideally supported by a relevant degree or industry certifications. Familiarity with tools like Docker, Git, asynchronous programming, and testing frameworks such as Pytest is often required. Excellent problem-solving skills, adaptability, and clear communication are valuable soft skills in this role. These competencies ensure robust API development, seamless collaboration, and the delivery of high-quality software solutions in agile environments.

What are the typical daily responsibilities of a FastAPI Developer?

As a FastAPI Developer, your daily tasks typically include designing and implementing RESTful APIs, writing efficient and maintainable code, and performing thorough testing to ensure reliability and performance. You may also collaborate closely with frontend developers, DevOps engineers, and QA teams to integrate new features and troubleshoot issues. Regular code reviews, documentation, and participation in agile development meetings are common parts of the workday. This collaborative and dynamic environment allows you to make a direct impact on the product while growing your skills through hands-on problem-solving and teamwork.

What is a FastAPI job?

A FastAPI job typically involves developing, maintaining, and optimizing web applications and APIs using the FastAPI framework. FastAPI is a modern, high-performance web framework for Python that is designed for building APIs quickly with automatic OpenAPI generation. Professionals in this role are expected to have experience with Python, asynchronous programming, and API development, often working with databases, authentication, and cloud services.

Is FastAPI in demand?

FastAPI is a popular web framework for building APIs with Python, and demand for developers skilled in FastAPI is growing due to its efficiency and ease of use. Companies adopting modern, high-performance backend solutions often seek developers familiar with FastAPI, especially those with knowledge of asynchronous programming and related tools like Python and Docker.
What are the most commonly searched types of Fastapi jobs in Massachusetts? The most popular types of Fastapi jobs in Massachusetts are:
What are popular job titles related to Fastapi jobs in Massachusetts? For Fastapi jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Fastapi jobs in Massachusetts look for? The top searched job categories for Fastapi jobs in Massachusetts are:
Fastapi jobs near you
Infographic showing various Fastapi job openings in Massachusetts as of July 2026, with employment types broken down into 85% Full Time, 8% Part Time, 1% Temporary, and 6% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $144,824 per year, or $69.6 per hour.

Software Engineer II, Lab Software

Lila Sciences

Cambridge, MA • On-site

Other

Re-posted 22 days ago

Job description

Your Impact at LILA

Join us in shaping the future of science! We are seeking a Software Engineer II with backend experience to join our Lab Software Team (LaS), where you'll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!

About The Team

The Lab as Software Team (LaS) acts as the physical and virtual execution layer for Lila's AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab.

What You'll Be Building

  • Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.
  • Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.
  • Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.
  • Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
  • Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.
  • Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

What You'll Need To Succeed

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 2-5 years of engineering experience building and deploying large-scale systems in production. You must be strong in backend.
  • Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)
  • Hands on experience using AI coding assistants to drive productivity is required.
  • Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.
  • Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.

Bonus Points For

  • Domain Background: Exposure to laboratory software for life sciences, material sciences, or related fields.
  • Lab Automation Experience: Experience with laboratory devices, robotics, or hardware drivers.
  • Orchestration Systems: Experience with software orchestration platforms (Airflow, Prefect, Temporal, Dagster) and design patterns
  • Cloud & DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions)

Apply