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Python Fastapi Developer Jobs in Minneapolis, MN

Java Full Stack

Minneapolis, MN · On-site

$54.75 - $70.75/hr

Java Full Stack Summary We are seeking a full-stack engineer skilled in Python and Java (Spring ... Build backend services in Python (Flask, FastAPI, Django) and Java (Spring Boot) ; design clean ...

Staff Software Engineer (Full Stack) - Forward Engineering Join Thomson Reuters' Forward ... Use modern frontend and backend tech (React/Next.js, Vue/Nuxt, Angular, Node.js, Python/FastAPI ...

We are seeking a Python developer / solutions architect to drive forward our next-gen model production platform. If you can connect the dots between Pandas / Polars, FastAPI, Docker, and Kubernetes ...

Staff Software Engineer (Full Stack) - Forward Engineering Join Thomson Reuters' Forward ... Use modern frontend and backend tech (React/Next.js, Vue/Nuxt, Angular, Node.js, Python/FastAPI ...

Design, build, and optimize scalable backend services and APIs using React and Python - powering ... Experience with REST APIs (FastAPI / Flask / Django) * Experience with Github and Azure DevOps * ...

Must-Have Skills (Non-Negotiable) 1. Core AI/ML Engineering Strong proficiency in Python (NumPy ... FastAPI or Flask Ability to build scalable AI services and APIs 6. Cloud & Deployment (GCP ...

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Python Fastapi Developer information

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$13

$61

$90

How much do python fastapi developer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python fastapi developer in Minneapolis, MN is $61.19, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.52 per hour, depending on experience, location, and employer.

What is a Python FastAPI Developer job?

A Python FastAPI Developer is responsible for designing, developing, and maintaining backend applications using FastAPI, a modern web framework for building APIs with Python. They work on creating high-performance APIs, integrating with databases, implementing authentication, and ensuring scalability. This role often involves working with asynchronous programming, cloud services, and containerization tools like Docker. Developers collaborate with teams to create efficient, secure, and well-documented API endpoints for web and mobile applications.

What are the key skills and qualifications needed to thrive in the Python Fastapi Developer position, and why are they important?

To thrive as a Python FastAPI Developer, you need strong proficiency in Python programming, experience designing RESTful APIs with FastAPI, and a background in web development concepts. Familiarity with version control systems like Git, containerization tools such as Docker, and knowledge of cloud platforms or SQL/NoSQL databases are commonly required, and certifications in cloud services or Python development can be advantageous. Excellent problem-solving skills, effective communication, and the ability to collaborate in agile teams help developers contribute efficiently to complex projects. These competencies ensure robust, scalable backend solutions and smooth coordination within development teams to meet business goals.

What are some typical daily tasks for a Python FastAPI Developer?

A Python FastAPI Developer typically spends their day designing, developing, and maintaining RESTful APIs to support web or mobile applications. This involves writing clean and efficient Python code, collaborating with frontend developers or other backend engineers to integrate new features, and ensuring the application meets performance and security standards. Developers also participate in code reviews, debugging, and continuous integration processes, while regularly communicating with product managers or stakeholders to align on project requirements. Staying up to date with FastAPI enhancements and industry best practices is also a common part of the role.

What are popular job titles related to Python Fastapi Developer jobs in Minneapolis, MN? For Python Fastapi Developer jobs in Minneapolis, MN, the most frequently searched job titles are:
What cities near Minneapolis, MN are hiring for Python Fastapi Developer jobs? Cities near Minneapolis, MN with the most Python Fastapi Developer job openings:
Java Full Stack

$54.75 - $70.75/hr

Full-time

Posted 6 days ago


Job description

Java Full Stack
Summary
We are seeking a full-stack engineer skilled in Python and Java (Spring Boot), experienced with modern backend frameworks and React-based frontend development, and capable of delivering production-grade GenAI solutions (LLMs, RAG, Agents, MCP, guardrails). The candidate should be able to design, build, and operate scalable services and applications using modern AI patterns with strong software craftsmanship.
Responsibilities
  • Build backend services in Python (Flask, FastAPI, Django) and Java (Spring Boot); design clean APIs, integrations, and background jobs.
  • Develop user interfaces using React (preferred); collaborate on UX, component libraries, accessibility, and performance.
  • Own quality with PyTest/JUnit, integration and contract testing; enable CI/CD automation.
  • Deliver GenAI capabilities: prompt design, RAG pipelines, agent orchestration, and workflow automation.
  • Productionize AI with guardrails for safety, compliance, observability, and fallback strategies; measure latency, cost, and accuracy.
  • Work across data layers: vector stores, relational DBs, caching, and secure connectors; ensure data privacy and governance.
  • Collaborate across product, design, and platform teams; review code, architect solutions, document decisions, and mentor peers.

Required Skills & Experience
Backend (Python & Java)
  • Strong in Python and Java (Spring Boot) - APIs, microservices, async processing, and performance optimization.
  • Frameworks: Flask, FastAPI, Django, Spring Boot (REST, security, data, microservices).
  • API design (REST/JSON), OpenAPI, OAuth/OIDC, JWT, RBAC.

Frontend
  • React (preferred) or Angular: component design, state management, routing, testing (Jest, Playwright).
  • Build tooling: Vite/Webpack, npm/yarn.

GenAI / Agentic AI
  • LLM fundamentals, embeddings, prompt design, tool/function calling.
  • RAG architectures and evaluation approaches.
  • Agents: orchestration, memory, multi-agent patterns.
  • MCP, guardrails, and secure AI patterns.
  • Frameworks: LangChain/LangGraph, CrewAI (plus Haystack/LlamaIndex familiarity).

Data & Infrastructure
  • Vector DBs, PostgreSQL/MySQL, Redis.
  • Cloud & DevOps: Docker, Kubernetes, CI/CD, observability.
  • Messaging/streaming: Kafka/MQ; batch vs. real-time processing.
  • Cloud & DevOps: Azure (preferred) and Azure AI services, Docker, Kubernetes.
  • Hands-on with AKS, EKS deployments, Helm charts, and CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins).

Preferred Qualifications
  • Experience delivering production-grade GenAI applications with measurable outcomes.
  • Integration with LLM providers (OpenAI, Anthropic, local models).
  • AI observability, evaluation frameworks, and guardrail telemetry.
  • Financial services / regulated environment experience.

Education
  • BS/MS in Computer Science or equivalent experience.

Experience
  • Staff Engineer (Onshore): 8+ years; leads architecture, cross-team design, and AI governance.