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

Hatch IT

Senior Software Engineer

Boston, MA

$133.10K - $175.50K/yr

T. is partnering with Via to find a Senior Software Engineer. See details below: About the Role: An ... Developing RESTful APIs (using frameworks such as FastAPI) secured by OAuth2/Auth * Integrating ...

Hatch IT

Senior Software Engineer

Boston, MA · On-site

$133.10K - $175.50K/yr

T. is partnering with Via to find a Senior Software Engineer. See details below: About the Role: An ... Developing RESTful APIs (using frameworks such as FastAPI) secured by OAuth2/Auth * Integrating ...

Klaviyo

Senior AI Engineer

Boston, MA · On-site

$113.50K - $155.90K/yr

They are seeking a Senior AI Engineer to design, build, and scale production-grade LLM integrations ... FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend ...

Liberate

Senior Software Engineer

Boston, MA · On-site

$190K - $215K/yr

Extensive experience with FastAPI, Django, asyncio. * Experience with NodeJS, React, Typescript and ... Experience with cloud platforms such as AWS, Google Cloud, or Azure, and familiarity with DevOps ...

Liberate

Senior Software Engineer

Boston, MA · On-site +1

$190K - $215K/yr

Extensive experience with FastAPI, Django, asyncio. * Experience with NodeJS, React, Typescript and ... Experience with cloud platforms such as AWS, Google Cloud, or Azure, and familiarity with DevOps ...

Klaviyo

Sr. Lead AI Engineer

Boston, MA

Job Title: Sr. Lead AI Engineer Location: Boston, MA This role is based in our Boston, MA hub ... Proficient in Python and modern backend frameworks (FastAPI, Django or similar), with experience ...

Klaviyo

Senior AI Engineer

Boston, MA

$133.10K - $175.50K/yr

As a Sr. AI Engineer at Klaviyo, you'll play a key role in designing and building scalable backend ... Proficient in Python and modern backend frameworks (FastAPI, Django preferred). * Experience ...

Klaviyo

Senior AI Engineer, ARIA Team

Boston, MA · On-site

$113.50K - $155.90K/yr

They are seeking a Senior AI Engineer to design, build, and scale production-grade LLM integrations ... FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend ...

Klaviyo

Sr. Lead AI Engineer

Boston, MA · On-site

Job Title: Sr. Lead AI Engineer Location: Boston, MA This role is based in our Boston, MA hub ... Proficient in Python and modern backend frameworks (FastAPI, Django or similar), with experience ...

Klaviyo

Sr. Lead AI Engineer

Boston, MA

Job Title: Sr. Lead AI Engineer Location: Boston, MA This role is based in our Boston, MA hub ... Proficient in Python and modern backend frameworks (FastAPI, Django or similar), with experience ...

CVS Health

Senior Data Engineer

Wellesley, MA · On-site

$92.70K - $222.48K/yr

Develop Python-based APIs (Flask/FastAPI) to enable seamless data access, model integration, and ... Knowledge of CI/CD and DevOps practices for data engineering * Experience with other cloud services ...

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How much do senior fastapi developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for senior fastapi developer in Boston, MA is $67.06, according to ZipRecruiter salary data. Most workers in this role earn between $56.92 and $75.19 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior FastAPI Developer, and why are they important?

To thrive as a Senior FastAPI Developer, you need deep expertise in Python, RESTful API design, and experience building scalable web backends, typically supported by a degree in computer science or related field. Familiarity with FastAPI, Docker, cloud platforms (such as AWS or Azure), and CI/CD tools is highly valued, along with proficiency in testing frameworks. Strong problem-solving, leadership, and communication skills help you collaborate effectively with cross-functional teams and mentor junior developers. These skills enable the delivery of robust, efficient, and maintainable APIs that support business goals and high user demands.

What are some common challenges faced by Senior FastAPI Developers when scaling applications, and how can these be addressed?

Senior FastAPI Developers often encounter challenges related to managing high concurrency, optimizing API performance, and ensuring robust security as applications scale. To address these, it’s important to implement asynchronous programming practices, leverage efficient database queries, and utilize API gateways for better traffic management. Collaboration with DevOps and QA teams is also essential to automate deployments and monitor system health, ensuring smooth scaling and reliable user experiences.

What does a Senior FastAPI Developer do?

A Senior FastAPI Developer designs, develops, and maintains backend web applications using the FastAPI framework in Python. They are responsible for building scalable APIs, optimizing performance, ensuring security best practices, and integrating with databases and external services. Senior developers also mentor junior team members, contribute to architecture decisions, and collaborate closely with front-end engineers and stakeholders to deliver robust software solutions.
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Senior Fastapi Developer jobs near you

Senior Software Engineer, Applied AI

Lila Sciences

Cambridge, MA

$133.90K - $176.50K/yr

Other

Posted 2 days ago

Job description

Your Impact at LILA

We are seeking a Senior Software Engineer to join our Applied AI group and help build the next generation of our AI-driven scientific platform. In this role, you will design and optimize the backend systems, data pipelines, and AI integrations that power intelligent, data-driven applications. You'll work at the intersection of backend engineering and machine learning, ensuring our platform seamlessly scales and supports cutting-edge applied AI techniques such as Retrieval-Augmented Generation (RAG), agentic AI, and large language model (LLM) integration.

This role is ideal for someone who thrives in bridging software engineering and applied AI-turning research into production-grade systems that drive real-world scientific discovery. If you are passionate about building performant, elegant systems that make AI useful and impactful, we would love to hear from you!

What You'll Be Building

  • Applied AI Integration: Design and deploy backend services and data pipelines that directly support advanced AI applications, including LLMs, RAG, and agentic frameworks.
  • API & Service Development: Build high-performance APIs and microservices that enable seamless integration between AI models, scientific tools, and user-facing applications.
  • Data Pipeline Architecture: Architect and manage scalable pipelines capable of handling structured, unstructured, and vectorized data for AI/ML workloads.
  • Database & Knowledge Systems: Implement and optimize SQL, NoSQL, and vector databases to support low-latency AI retrieval and inference workloads.
  • Cloud & Infrastructure: Leverage AWS, Kubernetes, and infrastructure-as-code (Terraform/CloudFormation) to build robust, production-ready AI platforms.
  • Performance & Reliability: Diagnose system bottlenecks, optimize for cost and speed, and ensure the reliability and fault-tolerance of AI-driven workflows.
  • Collaboration: Partner with ML researchers, platform engineers, and scientists to translate models and algorithms into scalable, production-ready systems.

What You'll Need to Succeed

  • Educational Background: Bachelor's or Master's in Computer Science, Engineering, or a related field.
  • Backend & Data Expertise: 7+ years of professional experience building and scaling production systems, including APIs, data pipelines, and distributed services.
  • Programming Skills: Strong Python skills (FastAPI, Flask, Django), with solid experience in backend service development.
  • Databases: Proven experience with SQL, NoSQL, and vector databases; skilled in schema design, indexing, and query optimization.
  • Applied AI Systems: Hands-on experience integrating ML models or AI-driven workflows into production services.
  • Cloud & DevOps: Proficiency with AWS, Docker/Kubernetes, CI/CD pipelines, and infrastructure-as-code.
  • Communication & Problem-Solving: Ability to work cross-functionally with diverse teams and explain complex technical concepts to non-experts.

Bonus Points For

  • Scientific & Data-Intensive Domains: Experience working with life sciences, materials sciences, or other research-heavy fields.
  • Startup Experience: Comfort with fast-paced, iterative environments where impact and adaptability matter.

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