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Fastapi Developer Jobs in Boston, MA (NOW HIRING)

Build backend services in FastAPI for agent submission, execution, lifecycle state machines, and ... CI/CD & DevOps: Git, Automated Deployment Pipelines * Observability: AWS Observability * Software ...

New

AI Developer

Boston, MA · On-site

$70 - $110/hr

Develop and maintain Python-based AI applications and APIs using frameworks like FastAPI, Flask, or ... Collaborate with data engineering teams to ensure smooth ingestion, transformation, and storage of ...

Senior Software Engineer, App

Cambridge, MA

$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 ...

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, 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 ...

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 ...

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Fastapi Developer information

See Boston, MA salary details

$18

$57

$88

How much do fastapi developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for fastapi developer in Boston, MA is $57.40, according to ZipRecruiter salary data. Most workers in this role earn between $43.89 and $70.24 per hour, depending on experience, location, and employer.

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 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 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 most commonly searched types of Fastapi Developer jobs in Boston, MA?

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

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

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

Infographic showing various Fastapi Developer job openings in Boston, MA as of August 2026, with employment types broken down into 80% Full Time, 5% Part Time, and 15% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $119,394 per year, or $57.4 per hour.

Gen AI Engineer

DATAECONOMY

Boston, MA • On-site

Other

Posted 3 days ago

New


Job description

GenAI Platform Engineer

Boston, MA

Full-time role

Experience: 10+yrs

 

About the Role

We''''re looking for a Senior GenAI Platform Engineer to build and operate our enterprise AI agent platform — hands-on, in the code, every day. This is an individual contributor role with no direct reports. You''''ll design and build durable asynchronous orchestration, RAG pipelines, and secure multi-agent workflows on AWS, working alongside a small team of peer engineers. You''''ll participate in architecture discussions and code reviews as a strong technical contributor, not as a manager.

Education & Experience

  • Bachelor’s degree in computer science, Information Systems, Engineering, or equivalent practical experience.
  • 5–8 years of professional software engineering experience.
  • 2+ years of hands-on experience building GenAI/Agentic AI applications in production.

What You''''ll Do

  • Build AI agents and multi-agent workflows using Amazon Bedrock, Bedrock Agents, AgentCore, LangChain, and LangGraph.
  • Design and implement RAG pipelines, prompt engineering strategies, and AI guardrails.
  • Build backend services in FastAPI for agent submission, execution, lifecycle state machines, and status tracking.
  • Implement queue-based dispatch and durable state stores, ensuring idempotency, retries, and failure recovery.
  • Write Infrastructure as Code (Terraform) to provision and manage agent infrastructure on AWS.
  • Integrate agents with vector databases, enterprise messaging systems, and internal workflow tools.
  • Instrument services for observability — structured logging, tracing, metrics.
  • Participate in code reviews and architecture discussions as a peer contributor.
  • Write clear technical documentation (design docs, runbooks) for systems you build.

Required Qualifications

  • Expert-level Python, with strong experience building REST APIs (FastAPI preferred).
  • Hands-on experience with LLMs, Amazon Bedrock (Agents & AgentCore), LangChain, LangGraph, RAG, and vector databases.
  • Strong experience with core AWS services: Lambda, ECS/EKS, API Gateway, S3, RDS/PostgreSQL.
  • Working proficiency in Terraform and Docker.
  • Experience with CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).
  • Solid understanding of asynchronous programming and event-driven architectures (Kafka or SQS).
  • Experience with modern authentication patterns (OAuth2, OIDC, JWT) and AWS IAM.

Technical skills

  • Programming: Python , FastAPI
  • Generative AI: Amazon Bedrock, Bedrock Agents, AgentCore, LangChain, LangGraph, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Guardrails, Multi-Agent Systems
  • Vector Databases: Pinecone, Amazon OpenSearch Vector Engine, FAISS, ChromaDB, pgvector
  • Infrastructure as Code: Terraform, AWS CloudFormation (preferred exposure)
  • Containers & Orchestration: Docker
  • Databases: PostgreSQL, DynamoDB
  • Event-Driven Architecture: Amazon SQS, Apache Kafka
  • Authentication & Security: OAuth 2.0, OpenID Connect (OIDC), JWT, AWS IAM, Enterprise Identity Integration (Microsoft Entra ID)
  • CI/CD & DevOps:  Git, Automated Deployment Pipelines
  • Observability: AWS Observability
  • Software Engineering: System Design, Microservices Architecture, Backend Development, API Design, Code Reviews, Technical Documentation, Design Documents, Runbooks
  • Development Practices: Unit Testing, Integration Testing, Code Quality, Secure Coding Practices, Agile/Scrum

 

Preferred Qualifications

  • AWS Associate or Professional certification.