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Senior Fastapi Developer Jobs in Massachusetts (NOW HIRING)

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 ...

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

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 ...

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 ...

Senior AI Engineer - Customer Agent

Boston, MA · On-site

$113K - $155K/yr

Our team is looking for a Sr. AI Engineer on the Customer Agent team, Klaviyo's AI-native ... Proficient in Python and modern backend frameworks (FastAPI, Django preferred). * Experience ...

Sr. Manager, Orchestrate

Boston, MA · On-site

$137K - $181K/yr

As the Senior Engineering Manager for Orchestrate, you will lead multiple teams responsible for the ... Django/FastAPI or similar) * Experience with cloud infrastructure (AWS), DevOps practices, and ...

Founding Senior Software Engineer

Cambridge, MA · On-site

$133K - $176K/yr

Strong backend engineering skills -- you've built and scaled real systems (we use Python, but care ... Technical Stack Python (Django/DRF, FastAPI), React/TypeScript, PostgreSQL, Redis, Celery, AWS ...

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Senior Fastapi Developer information

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.

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 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.
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Senior Software Engineer, Lab Software

Lila Sciences

Cambridge, MA

$133K - $176K/yr

Other

Re-posted 16 days ago


Job description

Your Impact at LILA

Join us in shaping the future of science! We are seeking Senior Software Engineers with backend experience to join our Lab Software Team (LaS), 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 Lab as Software Team (LaS) acts as the physical and virtual execution layer for Lila's AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab.

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, 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

  • Domain Background: Exposure to laboratory software for life sciences, material sciences, or related fields.
  • Lab Automation Experience: Experience with laboratory devices, robotics, or hardware drivers.
  • Orchestration Systems: Experience with software orchestration platforms (Airflow, Prefect, Temporal, Dagster) and design patterns
  • 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).