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Fastapi Python Jobs in Arlington, MA (NOW HIRING)

Brown Brothers Harriman

Frontend Engineer

Boston, MA · On-site

Python - comfortable writing backend API endpoints (FastAPI or similar); full feature ownership across the stack * Figma fluency - Dev Mode, components, design tokens; works directly from design ...

Klaviyo

Senior AI Engineer

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 ...

PathAI

Software Engineer I, Fullstack

Boston, MA · On-site

$96K - $148K/yr

Experience and skills in designing and building python-based (FastAPI or Django) applications. * Solid foundation in data structures, algorithms, and OO design. * Ability to collaborate with a ...

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 ...

Klaviyo

Senior AI Engineer

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 ...

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 ...

PathAI

Senior Software Engineer, Fullstack

Boston, MA · On-site

$160 - $210/hr

Experience and skills in designing and building Python-based (FastAPI or Django) applications. * Solid foundation in data structures, algorithms, and OO design. * Ability to collaborate with a ...

Catalyst Labs

ML Engineer

Boston, MA · On-site

... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ... Preferred : • Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis ...

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Fastapi Python information

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How much do fastapi python jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for fastapi python in Arlington, MA is $66.38, according to ZipRecruiter salary data. Most workers in this role earn between $54.71 and $75.38 per hour, depending on experience, location, and employer.

What is the difference between Fastapi Python vs Django Developer?

AspectFastapi PythonDjango Developer
Primary FocusBuilding high-performance APIsDeveloping full-stack web applications
FrameworkFastapiDjango
Work EnvironmentBackend API services, microservicesWeb applications, content management systems
Required SkillsPython, asynchronous programming, REST APIsPython, Django framework, HTML/CSS, databases

Fastapi Python developers specialize in creating fast, scalable APIs using the Fastapi framework, often for microservices and backend systems. Django developers focus on building comprehensive web applications with integrated features. Both roles require Python, but Fastapi emphasizes performance and asynchronous programming, while Django offers a full-stack solution.

What cities near Arlington, MA are hiring for Fastapi Python jobs?

Cities near Arlington, MA with the most Fastapi Python job openings:

Fastapi Python jobs near you

Senior Software Engineer I/II, Back-end/Data, Robotics

Lila Sciences

Cambridge, MA

$133K - $176K/yr

Full-time

Posted 8 days ago

Job description

Your Impact at LILA

You will build the back-end and data foundations of the systems that schedule work across our autonomous labs, model them as digital twins, and turn raw experimental output into trustworthy, queryable data. In Robotics, you'll own core services scientists, operators, and engineers rely on daily - the ones that decide how efficiently our robots run and how much our scientists trust their data.

What You'll Be Building

  • Design scheduling systems: allocate experiments, instruments, and compute across autonomous labs, modeling long-running jobs as durable Temporal workflows.
  • Model digital twins: stand up the simulation/digital-twin data layer so teams predict factory behavior before committing resources.
  • Own technical data management: build the Flyte pipelines, S3 lakehouse, and PostgreSQL models that turn instrument output into governed, trustworthy data.
  • Enable data science: ship batch and event-driven pipelines that put clean data in the hands of scientists and models.
  • Deliver capacity planning: create customer-facing services that help teams forecast factory capacity.
  • Operate for scale: run services on AWS EKS with Docker/ECR, Terraform, and GitHub Actions, reliable as the factory grows.

What You'll Need to Succeed

  • 4-8 years of back-end engineering: production services in Python (FastAPI) at scale.
  • Data engineering: pipelines on a workflow orchestrator such as Flyte, Temporal, or similar.
  • Data modeling across stores: hands-on SQL (PostgreSQL), object storage (S3), and data lakehouse architectures.
  • Cloud-native delivery: a major cloud with containers, infrastructure as code, and CI/CD - ideally AWS EKS (Docker/ECR), Terraform, and GitHub Actions.
  • End-to-end ownership: taking services from design through delivery, reliability, and iteration.
  • Clear collaboration: communicating technical tradeoffs plainly with engineers, scientists, and business partners.

Bonus Points For

  • Systems engineering in regulated industries: systems-thinking rigor in safety- or quality-critical settings - aerospace, manufacturing, or healthcare/life sciences. Exposure to 21 CFR Part 11, ALCOA+, GAMP 5 / FDA CSA, or ISA-95 a plus.
  • Domain exposure: robotics, lab automation, LIMS, or manufacturing/MES environments.
  • Scheduling & optimization: job scheduling, resource allocation, or constraint/optimization problems.
  • Data-science enablement: distributed compute (Ray), experiment tracking (Weights & Biases), or model serving.
  • Event-driven messaging: NATS, MQTT, or similar pub/sub for high-volume telemetry.

Apply