ZipRecruiter

Log In

1

Python Fastapi Developer Jobs in Boston, MA (NOW HIRING)

Lila Sciences

Senior Software Engineer, App

Cambridge, MA · On-site

$133K - $176K/yr

... Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic) * Hands on experience using AI coding ... Cloud & DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and ...

Klaviyo

Senior Software Engineer - Devx

Boston, MA · On-site

$133K - $175K/yr

... and the developer-facing tools and systems that support our app ecosystem. Additional ... Python * Django REST Framework, Django, fastAPI * React, React Query * MySQL / postgreSQL

twenty80.io

Founding Full Stack Engineer

Boston, MA · On-site +1

$150K - $190K/yr

Set up deployment pipelines, monitoring, and basic DevOps workflows * Help hire and mentor future ... React, TypeScript, Next.js * Backend: Node.js (Express/NestJS) or Python (Django/FastAPI)

twenty80.io

Founding Full Stack Engineer

Boston, MA · On-site +1

$150K - $190K/yr

Set up deployment pipelines, monitoring, and basic DevOps workflows * Help hire and mentor future ... React, TypeScript, Next.js * Backend: Node.js (Express/NestJS) or Python (Django/FastAPI)

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 ... engineering experience * Strong full stack experience with modern JavaScript/TypeScript * Proven ...

Farsyt

Founding Software Engineer

Cambridge, MA · On-site

Technical Stack Python (Django/DRF, FastAPI), React/TypeScript, PostgreSQL, Redis, Celery, AWS ... You'll be one of the first engineers -- your decisions will shape the company * Direct access to ...

Motion Recruitment

Full Stack Engineer

Cambridge, MA · On-site

... Python, Django, and/or FastAPI • Strong proficiency with TypeScript and React • Experience with ... influencing engineering culture • Experience making architecture decisions in growing ...

Klaviyo

Lead AI Software Engineer

Boston, MA · On-site

... in Python and modern frameworks (FastAPI, Django preferred). • Skilled with big data and ... junior engineers. • Curious, pragmatic, and passionate about building AI systems that drive ...

Klaviyo

Senior AI Engineer - Customer Agent

Boston, MA · On-site

$113K - $155K/yr

... 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 Apache ...

next page

Showing results 1-20

All JobsPython Fastapi Developer JobsPython Fastapi Developer Jobs in Boston, MA

Python Fastapi Developer information

See Boston, MA salary details

$14

$63

$93

How much do python fastapi developer jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for python fastapi developer in Boston, MA is $63.69, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $72.36 per hour, depending on experience, location, and employer.

What is a Python FastAPI Developer job?

A Python FastAPI Developer is responsible for designing, developing, and maintaining backend applications using FastAPI, a modern web framework for building APIs with Python. They work on creating high-performance APIs, integrating with databases, implementing authentication, and ensuring scalability. This role often involves working with asynchronous programming, cloud services, and containerization tools like Docker. Developers collaborate with teams to create efficient, secure, and well-documented API endpoints for web and mobile applications.

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

To thrive as a Python FastAPI Developer, you need strong proficiency in Python programming, experience designing RESTful APIs with FastAPI, and a background in web development concepts. Familiarity with version control systems like Git, containerization tools such as Docker, and knowledge of cloud platforms or SQL/NoSQL databases are commonly required, and certifications in cloud services or Python development can be advantageous. Excellent problem-solving skills, effective communication, and the ability to collaborate in agile teams help developers contribute efficiently to complex projects. These competencies ensure robust, scalable backend solutions and smooth coordination within development teams to meet business goals.

What are some typical daily tasks for a Python FastAPI Developer?

A Python FastAPI Developer typically spends their day designing, developing, and maintaining RESTful APIs to support web or mobile applications. This involves writing clean and efficient Python code, collaborating with frontend developers or other backend engineers to integrate new features, and ensuring the application meets performance and security standards. Developers also participate in code reviews, debugging, and continuous integration processes, while regularly communicating with product managers or stakeholders to align on project requirements. Staying up to date with FastAPI enhancements and industry best practices is also a common part of the role.

What are popular job titles related to Python Fastapi Developer jobs in Boston, MA? For Python Fastapi Developer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Python Fastapi Developer jobs in Boston, MA look for? The top searched job categories for Python Fastapi Developer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Python Fastapi Developer jobs? Cities near Boston, MA with the most Python Fastapi Developer job openings:
Python Fastapi Developer jobs near you

Senior Software Engineer, App

Lila Sciences

Cambridge, MA • On-site

$133K - $176K/yr

Full-time

Medical, Dental, Vision, Life

Posted 17 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.

Apply