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Fastapi Developer Jobs in Lynn, MA (NOW HIRING)

Lila Sciences

Senior Software Engineer, App

Cambridge, MA · On-site

$133K - $176K/yr

Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade ... Experience with and web services for CRUD services (SQLModel, FastAPI, Django). * Orchestration ...

jobr.pro

Senior Software Engineer, App

Cambridge, MA · On-site

$150 - $200/hr

Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade ... Experience with and web services for CRUD services (SQLModel, FastAPI, Django). * Orchestration ...

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 ... Champion Engineering Excellence: Advance our practices - testing, observability, code review, and ...

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 ... Champion Engineering Excellence: Advance our practices - testing, observability, code review, and ...

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 ...

IBM

Entry Level Software Developer 2027

Boston, MA · On-site

$125 - $150/hr

Exposure to back-end or front-end frameworks (e.g., React, FastAPI, Flask, Spring Boot). * Understanding of cloud-native technologies, CI/CD processes, or DevOps practices. * Familiarity with NoSQL ...

Klaviyo

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

As a Senior AI Engineer, you will design and build scalable backend systems and user experiences ... FastAPI, Django preferred). • Experience creating human and automated evals to ensure high AI ...

Klaviyo

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

As a Senior AI Engineer, you will design and build scalable backend systems and user experiences ... FastAPI, Django preferred). • Experience creating human and automated evals to ensure high AI ...

Catalyst Labs

ML Engineer

Boston, MA · On-site

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, while ... Preferred : • Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis ...

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All JobsFastapi Developer JobsFastapi Developer Jobs in Lynn, MA

Fastapi Developer information

See Lynn, MA salary details

$17

$54

$84

How much do fastapi developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for fastapi developer in Lynn, MA is $54.50, according to ZipRecruiter salary data. Most workers in this role earn between $41.63 and $66.68 per hour, depending on experience, location, and employer.

What is a FastAPI developer?

A FastAPI Developer is a software engineer who specializes in building web applications and APIs using the FastAPI framework, which is a modern, fast (high-performance) web framework for Python. FastAPI Developers are responsible for designing, developing, and maintaining backend services and APIs that are efficient, robust, and scalable. They often work with databases, authentication, and deployment processes, and ensure that the API endpoints adhere to best practices for security and performance. Their work is crucial for enabling smooth communication between front-end applications and backend systems.

What are the key skills and qualifications needed to thrive as a FastAPI developer?

To thrive as a FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and experience with FastAPI, often supported by a background in computer science or related fields. Familiarity with tools like SQL/NoSQL databases, Docker, and cloud platforms, as well as knowledge of asynchronous programming and API documentation tools like Swagger, is typically required. Excellent problem-solving skills, attention to detail, and effective communication set outstanding FastAPI developers apart. These skills are crucial for building reliable, high-performance APIs that meet modern application demands and facilitate seamless team collaboration.

What are some common challenges FastAPI developers face when integrating third-party services or APIs?

FastAPI Developers often encounter challenges when integrating third-party services, such as handling authentication protocols (like OAuth2), ensuring compatibility between JSON schemas, and managing asynchronous calls to avoid performance bottlenecks. It’s also common to troubleshoot and adapt to inconsistencies in external API documentation or rate limits. Collaborating closely with frontend teams and DevOps professionals helps streamline these integrations, ensuring robust, scalable API solutions.

What is the difference between Fastapi Developer vs Backend Developer?

AspectFastapi DeveloperBackend Developer
Required SkillsPython, Fastapi, REST APIs, async programmingMultiple languages (Python, Java, Node.js), REST/SOAP APIs, databases
Work EnvironmentWeb development, API-focused projects, microservicesBroader software development, server-side logic, database management
Industry UsageTech startups, SaaS, API-driven servicesEnterprise, e-commerce, finance, various industries

Fastapi Developers specialize in building high-performance APIs using Python and Fastapi, often within microservices architectures. Backend Developers have a broader scope, working with multiple languages and technologies to develop server-side applications across various industries. While Fastapi Developers focus on API efficiency, Backend Developers handle comprehensive backend systems.

What are popular job titles related to Fastapi Developer jobs in Lynn, MA?

For Fastapi Developer jobs in Lynn, MA, the most frequently searched job titles are:

What job categories do people searching Fastapi Developer jobs in Lynn, MA look for?

The top searched job categories for Fastapi Developer jobs in Lynn, MA are:

What cities near Lynn, MA are hiring for Fastapi Developer jobs?

Cities near Lynn, MA with the most Fastapi Developer job openings:

Fastapi Developer jobs near you
Infographic showing various Fastapi Developer job openings in Lynn, MA as of August 2026, with employment types broken down into 75% Full Time, 11% Part Time, 3% Temporary, and 11% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $113,356 per year, or $54.5 per hour.

Principal Software Engineer, Data

Lila Sciences

Cambridge, MA • On-site

$204K - $348K/yr

Full-time

Medical, Dental, Vision, Life

Re-posted 10 days ago

Job description

Your Impact at LILA
Join us in shaping the future of science! We are seeking Principal Software Engineers with backend experience to join our Data Platform Team (Data), 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 Data Platform Team (Data) builds and support the data systems that underpins Lila's AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter.
What You'll Be Building
  • Design & Build APIs: Design and build high-performance, secure, and well-documented 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.
  • 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.
  • 8-15 years of engineering experience building and deploying large-scale systems in production. You must be strong in scalable backend system design.
  • Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)
  • Experience with ORMs: Experience with and web services for CRUD services (SQL Alchemy, 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).
  • Hands on experience using AI coding assistants to drive productivity is required.
  • Communication & Collaboration: Acute listening and writing 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 design complex backend solutions, balancing trade-offs between scalability, performance, and maintainability.

Bonus Points For
  • 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).
  • Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.
  • Experience with laboratory devices, robotics, or hardware

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
$204,000-$348,000 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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