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Fastapi Developer Jobs in Detroit, MI (NOW HIRING)

OneStream Software

AI Engineer

Birmingham, MI · On-site

Description AI Engineer Location : Hybrid, United States Employment Type : Full-Time Benefits ... Experience with webservices and API frameworks (Flask, FastAPI, etc.). * Knowledge of distributed ...

OneStream

AI Engineer

Birmingham, MI · Remote

AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits Offered ... Experience with webservices and API frameworks (Flask, FastAPI, etc.). * Knowledge of distributed ...

OneStream Software

AI Engineer

Birmingham, MI · On-site

Description AI Engineer Location : Hybrid, United States Employment Type : Full-Time Benefits ... Experience with webservices and API frameworks (Flask, FastAPI, etc.). * Knowledge of distributed ...

OneStream

Lead AI Engineer

Birmingham, MI · On-site

$97K - $128K/yr

Lead AI Engineer Location :Hybrid, United States Employment Type :Full-Time Benefits Offered ... Experience with webservices and API frameworks (Flask, FastAPI, etc.). Knowledge, Skills, and ...

OneStream

Lead AI Engineer

Birmingham, MI

$97K - $128K/yr

Lead AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits ... Experience with webservices and API frameworks (Flask, FastAPI, etc.). Knowledge, Skills, and ...

OneStream Software

Lead AI Engineer

Birmingham, MI · On-site

$97K - $128K/yr

Description Lead AI Engineer Location : Hybrid, United States Employment Type : Full-Time Benefits ... Experience with webservices and API frameworks (Flask, FastAPI, etc.). Knowledge, Skills, and ...

OneStream

Associate AI Engineer

Birmingham, MI

Associate AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits ... Experience with webservices and API frameworks (Flask, FastAPI, etc.). * Experience with relational ...

OneStream Software

Associate AI Engineer

Birmingham, MI · On-site

Description Associate AI Engineer Location : Hybrid, United States Employment Type : Full-Time ... Experience with webservices and API frameworks (Flask, FastAPI, etc.). * Experience with relational ...

HARMAN International

Principal Engineer, AI

Novi, MI · On-site

Python (FastAPI, NumPy, Pandas, scikit-learn, Pydantic, Jinja2) and Node.js; strong proficiency ... Engineering, Mathematics, or equivalent professional experience What Is Nice To Have * Experience ...

General Motors

Senior AI/ML Scientist

Milford, MI · On-site

... FastAPI, Ray, cloud services). * Willingness to learn and continue developing knowledge in an up-and-coming field. * Visionary thinking: Youidentifyand pursue novel AI/ML applications in engineering ...

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All JobsFastapi Developer JobsFastapi Developer Jobs in Detroit, MI

Fastapi Developer information

See Detroit, MI salary details

$16

$52

$80

How much do fastapi developer jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for fastapi developer in Detroit, MI is $52.31, according to ZipRecruiter salary data. Most workers in this role earn between $40.00 and $64.04 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, and why are they important?

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.
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Fastapi Developer jobs near you

Software Engineer II - Python

Rocket Close, LLC

Detroit, MI • On-site, Remote

Full-time

Posted 15 days ago

Job description

As a Python Engineer on our Data Science team, you will be at the forefront of our most ambitious technical initiatives. Your role is dual-purposed: you will build and orchestrate next-generation Agentic AI systems using AgentCore and LangGraph, and you will act as a Machine Learning Engineer (MLE) to productionize the sophisticated models developed by our Data Scientists.
We don't just follow industry trends; we aim to set them. You will be expected to be a perpetual student of the field, constantly researching and implementing the newest technologies to ensure our platform remains world-class.
Minimum Qualifications
  • Master's degree in Computer Science, Software Development, Machine Learning, or a related field, OR equivalent professional experience (3-5+ years in production-level engineering).
  • Expert-level proficiency in Python with a focus on building distributed, scalable cloud-native services.
  • Proven experience in a Data Science or Machine Learning environment, specifically in bridging the gap between research code and production software.

Preferred Qualifications
Agentic AI & Orchestration:
  • Hands-on experience with AgentCore runtime for building and managing autonomous agents.
  • Extensive experience using LangGraph to create complex, stateful multi-agent orchestrations with high visibility.
  • Deep familiarity with Amazon Bedrock, OpenAI, or Anthropic APIs and the latest advancements in LLM reasoning.
  • Experience building and optimizing RAG (Retrieval-Augmented Generation) pipelines.

Machine Learning Engineering (MLE):
  • Proven track record of productionizing Data Science models, transforming research-grade code into high-performance, scalable APIs (e.g., using FastAPI).
  • Experience with the full MLOps lifecycle: model deployment, versioning, and performance monitoring.
  • Familiarity with Amazon SageMaker or other cloud-based ML platforms.

Cloud & Infrastructure (AWS):
  • Expertise in the AWS ecosystem: Lambda (Serverless), Step Functions, ECS/EKS (Containers), EventBridge, and S3.
  • Strong proficiency in Infrastructure as Code (IaC) using Terraform.
  • Experience building asynchronous, event-driven architectures.

Observability & Engineering Excellence:
  • Proficiency in Splunk and CloudWatch for production monitoring and alerting.
  • Strong knowledge of software development life cycle (SDLC) processes, including unit testing, regression testing, and Agile concepts.
  • Ability to work with broad, loosely developed concepts and translate them into precise technical specifications.

Key Responsibilities
  • Agentic AI Innovation: Design and implement autonomous agents using AgentCore and orchestrate them via LangGraph to ensure complex workflows are visible and manageable.
  • MLE Productionization: Partner with Data Scientists to take ML models from research notebooks into scalable, production-ready AWS environments.
  • Constant Research: Proactively research, test, and present the newest technologies, frameworks, and AI research papers to the team. You are expected to be an early adopter of tools that can improve our velocity or service quality.
  • System Architecture: Build and maintain the cloud-native infrastructure (AWS) required for AI/ML inference and agentic execution, ensuring high availability and cost-efficiency.
  • Observability: Implement deep monitoring and alerting for all services, using LangGraph for agent-specific visibility and Splunk for broader system health.
  • Code Quality: Participate in rigorous code reviews and help define the engineering standards for the Data Science team.
  • Collaboration: Work without complete specifications to help derive technology solutions that meet the evolving needs of the business.

What you'll get
Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.
On-Call Expectations
This role may include participation in an on-call rotation to support production systems and ensure service reliability. On-call responsibilities may include coverage during nights and weekends. If applicable, frequency and scheduling will be determined by team needs and communicated accordingly.
About us
Rocket Close is a leading national provider of title insurance, property valuations and settlement services. Here, you'll be given all the resources and support needed to deliver innovative solutions and in turn, your hard work will be rewarded with a competitive compensation package and an array of other amazing benefits. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.
This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.

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