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Fastapi Jobs in Massachusetts (NOW HIRING)

Suffolk Construction

AI Engineer

Boston, MA · On-site

Build APIs, backend services, and agentic workflows using Python, FastAPI, LangChain, and AWS SDKs. * Create reusable connectors and orchestration layers for multi-model agents (Claude, GPT, Llama ...

Suffolk

AI Engineer

Boston, MA · On-site

Build APIs, backend services, and agentic workflows using Python, FastAPI, LangChain, and AWS SDKs. * Create reusable connectors and orchestration layers for multi-model agents (Claude, GPT, Llama ...

Lila Sciences

Senior Software Engineer, App

Cambridge, MA · On-site

$133K - $176K/yr

Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic) * Hands on experience using AI coding assistants to drive ...

jobr.pro

Senior Software Engineer, App

Cambridge, MA · On-site

$133K - $176K/yr

Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic) * Hands on experience using AI coding assistants to drive ...

Paperless Parts

Senior Software Engineer

Boston, MA · On-site

$133K - $175K/yr

We work across a modern stack - Python (Django and FastAPI), TypeScript and React, PostgreSQL, and AWS - and we're actively investing in how AI can accelerate our software development lifecycle.

Paperless Parts

Senior Software Engineer

Boston, MA · On-site

$142K - $192K/yr

We work across a modern stack - Python (Django and FastAPI), TypeScript and React, PostgreSQL, and AWS - and we're actively investing in how AI can accelerate our software development lifecycle.

twenty80.io

Founding Full Stack Engineer

Boston, MA · On-site +1

$150K - $190K/yr

Backend: Node.js (Express/NestJS) or Python (Django/FastAPI) * Databases: PostgreSQL, Redis * Cloud & Infrastructure: AWS or GCP, Docker, CI/CD * APIs: REST, GraphQL * Version Control: Git (GitHub or ...

Worky

Clinical Imaging Platform Engineer

Boston, MA · On-site

$140K - $180K/yr

FastAPI on AWS. Per-study authorization as a real primitive, not an internal-user override. Customer cohort isolation. HIPAA §164.312(b) access trails. You will need to become fluent in DICOM ...

twenty80.io

Senior Full Stack Software Engineer

Boston, MA · On-site +1

$160K - $210K/yr

Backend: Node.js (Express or NestJS) and/or Python (Django or FastAPI) * Databases: PostgreSQL, Redis * Cloud & Infrastructure: AWS or GCP, Docker, CI/CD * APIs: REST and GraphQL * Tools: Git, GitHub ...

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Showing results 21-40

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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 Sep 10, 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.

What is a FastAPI?

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.

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 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 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 August 2026, with employment types broken down into 86% Full Time, 7% Part Time, 1% Temporary, and 6% Contract. Highlights an 73% Physical, 8% Hybrid, and 19% Remote job distribution, with an average salary of $144,824 per year, or $69.6 per hour.

Senior Machine Learning Engineer, Physical Sciences

Cambridge, MA • On-site

Lila Sciences
See more jobs at Lila Sciencesexternal

$133K - $176K/yr

Full-time

Re-posted 8 days ago

Job description

Your Impact at LILA

This Machine Learning Engineer for the Physical Sciences team focuses on building and operating end-to-end, scalable machine learning workflows that solve a diversity scientific use cases in materials, chemistry and physical sciences. Your work will advance research efforts on state-of-the-art algorithms to build towards scientific superintelligence across today's greatest challenges in physical sciences.

What You'll Be Building

  • Design, implement, and maintain endtoend ML pipelines (data ingestion, feature engineering, training, evaluation, deployment, monitoring).
  • Productionize models and services with robust testing, observability, and documentation in collaboration with cross-functional software teams and build CI/CD workflows and automated evaluations to ensure safe, frequent releases.
  • Collaborate with domain scientists and platform engineers to translate research insights into performant, scalable systems.
  • Contribute to technical design reviews, coding standards, and mentoring of best practices.

What You'll Need to Succeed

  • BS/MS/PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience.
  • Strong Python software engineering fundamentals (testing, packaging, typing); experience with machine learning frameworks (e.g., PyTorch, Huggingface, etc.).
  • Experience deploying ML services to production in cloud-based infrastructure (FastAPI/GRPC, containers, orchestration, cloud infra).
  • Handson experience with model deployment in production systems (LLMs, multimodal models, databases, RAG) with strong debugging and profiling skills.
  • Clear communication and collaboration in crossfunctional settings.

Bonus Points For

  • Exposure to scientific or engineering domains (materials, chemistry, physics) and related data formats/benchmarks.
  • GPU optimization experience (CUDA, Triton, compilation, distributed training).
  • Prior contributions to opensource ML or scientific software.
  • Experience with workflow orchestration, data provenance, or largescale compute environments.

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