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Fastapi Python Jobs in Detroit, MI (NOW HIRING)

Stefanini Group

MLOps Engineer

Dearborn, MI · On-site

Python, Machine Learning, Data Science, GCP, Big Query * Python (advanced), SQL Machine Learning ... AWS or GCP Docker, Kubernetes API development (FastAPI / Flask) Data pipelines (ETL), data lakes ...

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Strong programming experience in Python, including backend development, API design, automation, and ... AWS or GCP Docker, Kubernetes API development (FastAPI / Flask) Data pipelines (ETL), data lakes ...

Stefanini Group

MLOps Engineer

Dearborn, MI · On-site

Python, Machine Learning, Data Science, GCP, Big Query * Python (advanced), SQL Machine Learning ... AWS or GCP Docker, Kubernetes API development (FastAPI / Flask) Data pipelines (ETL), data lakes ...

Stefanini Group

MLOps Engineer

Dearborn, MI · On-site

Python, Machine Learning, Data Science, GCP, Big Query * Python (advanced), SQL Machine Learning ... AWS or GCP Docker, Kubernetes API development (FastAPI / Flask) Data pipelines (ETL), data lakes ...

V2Soft

Machine Learning Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Required : • Python • Machine Learning • Data Science • GCP • Big Query • 6+ years in ... AWS or GCP • Docker • Kubernetes • API development (FastAPI / Flask) • Data pipelines (ETL) ...

Ford Motor Company

Senior Software Engineer

Dearborn, MI · On-site +1

$138K - $184K/yr

... FastAPI for Python, and SpringBoot for Java, and AngularJS. 2. Designing and building microservices with RESTful APIs to support data exchange and ensure service availability for both internal and ...

HARMAN International

Principal Engineer, AI

Novi, MI · On-site

Python (FastAPI, NumPy, Pandas, scikit-learn, Pydantic, Jinja2) and Node.js; strong proficiency with APIs and distributed systems. • Model Providers: Working familiarity with connecting to ...

Ford Motor Company

Data Scientist

Dearborn, MI

... Python, or Go * 2+ year experience with database systems (SQL, NoSQL), API design (REST/GraphQL) and building scalable API services using frameworks such as Flask or FastAPI * 2+ year experience ...

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How much do fastapi python jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for fastapi python in Detroit, MI is $58.03, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.91 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 are popular job titles related to Fastapi Python jobs in Detroit, MI? For Fastapi Python jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Fastapi Python jobs in Detroit, MI look for? The top searched job categories for Fastapi Python jobs in Detroit, MI are:
Fastapi Python jobs near you
Full Stack Software Engineer, AI Integration

Full Stack Software Engineer, AI Integration

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 11 days ago

Job description

Job Description
We are moving beyond "Chatbots." We are building AI-native applications where LLMs aren't just features-they are the core engine. As a AI Full Stack Engineer, you will architect systems where autonomous agents navigate complex business logic, utilize the Model Context Protocol (MCP) to interact with live data, and provide users with seamless, real-time streaming experiences.
You aren't just a software engineer; you are an AI Orchestrator bridging the gap between non-deterministic model logic and high-performance software engineering.
Responsibilities
1. Agentic Orchestration & Logic
Design Autonomous Loops: Transition from linear "chain" workflows to self-correcting agentic loops using frameworks like LangChain, LlamaIndex, or CrewAI.
Tool-Use Architecture: Design and implement robust "tool-calling" capabilities, ensuring LLMs can reliably interact with external APIs and microservices.
MCP Integration: Build and maintain Model Context Protocol (MCP) servers to bridge the gap between LLMs and our proprietary data silos securely and in real-time.
2. Full Stack AI Delivery
High-Concurrency Back-end: Develop asynchronous Python (FastAPI) or Java services optimized for long-running AI tasks and token streaming.
Streaming Front-end: Build responsive, stateful UIs in React or Angular that handle complex AI interactions (streaming text, generative UI components, and multi-modal feedback).
Advanced RAG Pipelines: Go beyond basic vector search. Implement re-ranking, query transformation, and embedding optimization to maximize retrieval precision.
3. AI Engineering Excellence
Context Optimization: Master the "Context Window" by implementing prompt compression and "lost-in-the-middle" mitigation strategies.
Evaluation & Observability: Establish AI Evals to quantify hallucination rates, latency, and cost. Lead the shift from "vibes-based" testing to rigorous, automated AI benchmarking.
DevOps/MLOps: Manage CI/CD pipelines that include vector database migrations and automated prompt versioning.
Qualifications
  • BS in Computer Science or Engineering related field
  • 5+ years of total software engineering experience
  • 2+ years focused on AI integration
  • Technical Requirements:
    • AI Frameworks: 2+ years of professional experience with LangChain, LlamaIndex, or Google ADK.
    • AI Development Tools: GitHub Copilot (IDE & CLI), Claude Code, Cursor, or similar agentic coding assistants.
    • System Design: Ability to architect end-to-end AI-native systems-covering data flow, latency budgets, failure modes, scaling strategies, and LLM integration patterns.
    • Back-end Mastery: 3+ years designing and building Python (FastAPI/Flask) or Java (Spring Boot) services, with expertise in async patterns, distributed systems, and API design.
    • Front-end Precision: 2+ years designing real-time, streaming UI systems in React or Angular, with a focus on state management, WebSocket/SSE patterns, and component architecture.
    • Data Architecture: Expert knowledge of SQL (PostgreSQL/pgvector) and Vector Databases (Chroma, Qdrant, or Pinecone).
    • Cloud Infrastructure: Hands-on experience with GCP (Vertex AI) or AWS (Bedrock).
    • Modern DevOps: Experience with Git, Docker, Kubernetes,Terraform, and CI/CD (GitHub Actions/Jenkins).
  • What Sets You Apart:
    • The Agentic Mindset: You have a proven track record of moving models from "answering questions" to "completing multi-step tasks."
      Prompt Engineering as Code: You treat prompts as production code-versioned, tested, and optimized for deterministic outcomes.
    • MCP Expertise: You understand the future of data grounding and have experimented with or implemented Model Context Protocol servers.
    • Growth Agility: You stay ahead of the curve, moving fluently from RAG-based architectures to Long-Context model strategies as the landscape shifts.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here: https://fordcareers.co/GSR
This position ranges from salary grade 7-8 and ranges from $99,600-$192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
Visa sponsorship is not available for this position.
Relocation assistance IS provided for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
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About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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