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Fastapi Jobs in Massachusetts (NOW HIRING)

Lila Sciences

Senior Software Engineer, App

Cambridge, MA · On-site

$133K - $176K/yr

  • Medical

  • Dental

  • Vision

  • Life

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 ...

Jobtailor

Software Engineer

Watertown, MA · On-site

$90 - $110/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Debug, troubleshoot, and improve existing Python (FastAPI/SQLAlchemy) and TypeScript (React) codebases. * Build and maintain data pipelines (Python ETL) that power our real-time industrial monitoring ...

New

aijoblist

Principal Software Engineer, Data

Cambridge, MA · On-site

$204 - $348/hr

  • Medical

  • Dental

  • Vision

  • Life

Experience with and web services for CRUD services (SQL Alchemy, SQLModel, FastAPI, Django). * Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster)

New

Paperless Parts

Senior Software Engineer

Boston, MA · On-site

$133K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

$133K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • PTO

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

$140 - $180/hr

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 ...

New

twenty80.io

Senior Full Stack Software Engineer

Boston, MA · On-site +1

$160K - $210K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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 ...

The Hollister Group

UI Engineer (React/Python)

Boston, MA · On-site

$113K - $151K/yr

Strong backend engineering skills using Python, Ray, FastAPI, and Pandas/Polars, including API design, distributed parallel computing, and experience with both relational and non-relational databases.

OneScreen

Founding Machine Learning Engineer

Boston, MA · On-site

Strong production Python (NumPy, Pandas, FastAPI, SQLAlchemy). * Strong SQL and modern data warehouse experience (BigQuery preferred). * Real ranking and matching modeling fluency - learning-to-rank ...

The Hollister Group

UI Engineer (React/Python)

Boston, MA · On-site

$113K - $151K/yr

Strong backend engineering skills using Python, Ray, FastAPI, and Pandas/Polars, including API design, distributed parallel computing, and experience with both relational and non-relational databases.

S&P Global, Inc.

Software Engineer II

Cambridge, MA · On-site

$130 - $175/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

FastAPI, Django, Python, PostgreSQL, OpenSearch * Git, Jsonnet, Jenkins, AWS EKS, Celery, RabbitMQ * Prometheus, Grafana, Sentry Benefits * Medical, Dental, and Vision insurance (100% company‑paid ...

Klaviyo

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

... FastAPI, Django preferred). • Experience creating human and automated evals to ensure high AI model quality. • Proficient in big data tools such as Apache Spark and Hadoop. • Deep experience ...

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Showing results 21-40

All JobsFastapi JobsFastapi Jobs in Massachusetts

Fastapi information

See Massachusetts salary details

$128.2K

$144.8K

$163.6K

How much do fastapi jobs pay per year?

As of Aug 19, 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 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 73% Physical, 9% Hybrid, and 18% Remote job distribution, with an average salary of $144,824 per year, or $69.6 per hour.

Senior Software Engineer, App

Lila Sciences

Cambridge, MA • On-site

$133K - $176K/yr

Full-time

Medical, Dental, Vision, Life

Re-posted 25 days ago

Job description

Your Impact at LILA
Scientists shouldn't have to context-switch between a dozen tools to go from hypothesis to result. We're building the platform that makes this a reality - and we need engineers who want to solve problems no one has solved before.
We're hiring Sr Principal / Principal Software Engineers to design the agents, interfaces, and platform integrations that let researchers seamlessly collaborate with AI.
About The Team
The Application Team sits at the center of LILA - the integration point where Machine Learning, Life Sciences, Physical Sciences, and Software become one AI-native experience that carries a scientist from hypothesis to experiment to breakthrough results.
  • AI isn't a feature here - it's the architecture. Agent frameworks, tools, and LLM orchestration are core primitives, not bolt-ons.
  • The problems are genuinely hard. Connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs means inventing patterns, not copying them.
  • You'll learn domains you never expected. Working shoulder-to-shoulder with lab scientists and ML engineers means your technical surface area grows fast.
  • You'll ship things that matter. The tools you build accelerate research timelines from months to days.

If you want to build at the intersection of AI and science, move fast without breaking trust, and grow into the kind of engineer who can architect systems that don't exist yet - we want to talk.
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.
  • 5-8+ 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, Monorepos like Nx, 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
  • Applied AI Engineering: Experience building with AI agents, graph-based workflows, tool-use protocols (MCP), RAG pipelines, or LLM orchestration frameworks.
  • 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).
  • Experience with ORMs: Experience with and web services for CRUD services (SQLModel, FastAPI, Django).
  • Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).
  • Familiarity with Python for Science: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).
  • Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.
  • Experience with laboratory devices, robotics, or hardware drivers.

Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$144,000-$240,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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