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Fastapi Developer Jobs in Malden, MA (NOW HIRING)

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 ...

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 ...

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 ...

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)

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

Fastapi Developer information

See Malden, MA salary details

$17

$55

$85

How much do fastapi developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for fastapi developer in Malden, MA is $55.11, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $67.45 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 the most commonly searched types of Fastapi Developer jobs in Malden, MA?

The most popular types of Fastapi Developer jobs in Malden, MA are:

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

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

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

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

Infographic showing various Fastapi Developer job openings in Malden, MA as of August 2026, with employment types broken down into 76% Full Time, 10% Part Time, 1% Temporary, and 13% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $114,626 per year, or $55.1 per hour.

Senior Engineer I/II, Machine Learning

Cambridge, MA • On-site

$114K - $156K/yr

Full-time

Re-posted 6 days ago


Job description

Your Impact at LILA

This Machine Learning Engineer for the Physical Sciences team focuses on building and operating end-to-end, scalable machine learning workflows that solve a diversity scientific use cases in materials, chemistry and physical sciences. Your work will advance research efforts on state-of-the-art algorithms to build towards scientific superintelligence across today's greatest challenges in physical sciences.

What You'll Be Building

  • Design, implement, and maintain endtoend ML pipelines (data ingestion, feature engineering, training, evaluation, deployment, monitoring).
  • Productionize models and services with robust testing, observability, and documentation in collaboration with cross-functional software teams and build CI/CD workflows and automated evaluations to ensure safe, frequent releases.
  • Collaborate with domain scientists and platform engineers to translate research insights into performant, scalable systems.
  • Contribute to technical design reviews, coding standards, and mentoring of best practices.

What You'll Need to Succeed

  • BS/MS/PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience.
  • Strong Python software engineering fundamentals (testing, packaging, typing); experience with machine learning frameworks (e.g., PyTorch, Huggingface, etc.).
  • Experience deploying ML services to production in cloud-based infrastructure (FastAPI/GRPC, containers, orchestration, cloud infra).
  • Handson experience with model deployment in production systems (LLMs, multimodal models, databases, RAG) with strong debugging and profiling skills.
  • Clear communication and collaboration in crossfunctional settings.

Bonus Points For

  • Exposure to scientific or engineering domains (materials, chemistry, physics) and related data formats/benchmarks.
  • GPU optimization experience (CUDA, Triton, compilation, distributed training).
  • Prior contributions to opensource ML or scientific software.
  • Experience with workflow orchestration, data provenance, or largescale compute environments.