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Fastapi Python Jobs in Michigan (NOW HIRING)

Hands-on experience with Python frameworks such as Flask and FastAPI. * Strong SQL skills with experience designing and optimizing relational databases. * Experience with Google Cloud Platform (GCP ...

Python, C++, C, CSharp, Java, Rust, or Go (or similar experience). Preferred Education and ... Experience with webservices and API frameworks (Flask, FastAPI, etc.). * Experience with relational ...

Senior AI Engineer

Birmingham, MI · On-site

$99K - $136K/yr

Use Python and SQL to build AI systems and functionality. * Troubleshoot and debug issues across ... Experience with webservices and API frameworks (Flask, FastAPI, etc.). * Knowledge of distributed ...

Python, C++, C, CSharp, Java, Rust, or Go (or similar experience). Preferred Education and ... Experience with webservices and API frameworks (Flask, FastAPI, etc.). * Experience with relational ...

Solid skills in Python, JavaScript/TypeScript, with the ability to write clean, testable code ... as REACT and FastAPI Collaboration & Communication: Ability to work effectively on a team ...

Senior AI Engineer

Birmingham, MI · On-site

$99K - $136K/yr

Use Python and SQL to build AI systems and functionality. * Troubleshoot and debug issues across ... Experience with webservices and API frameworks (Flask, FastAPI, etc.). * Knowledge of distributed ...

Python, C++, C, CSharp, Java, Rust, or Go (or similar experience). Preferred Education and ... Experience with webservices and API frameworks (Flask, FastAPI, etc.). * Experience with relational ...

Senior AI Engineer

Birmingham, MI · On-site

$99K - $136K/yr

Use Python and SQL to build AI systems and functionality. * Troubleshoot and debug issues across ... Experience with webservices and API frameworks (Flask, FastAPI, etc.). * Knowledge of distributed ...

Backend (Python/FastAPI) and frontend (Angular/React) development, chat and API interfaces, and evaluation/benchmarking tools, with end-to-end feature ownership.Engineering Excellence: Maintain high ...

CDN Engineer

Dearborn, MI · On-site

$52.50 - $69.75/hr

Write front-end web components in React and backend APIs in Python (FastAPI/Flask) or Java to allow application teams to self-provision CDN properties and cache purges. 4. CI/CD Pipelines & API ...

Showing results 41-60

Fastapi Python information

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 job categories do people searching Fastapi Python jobs in Michigan look for?

The top searched job categories for Fastapi Python jobs in Michigan are:

Infographic showing various Fastapi Python job openings in Michigan as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Artificial Intelligence Senior Associate

Dearborn, MI • On-site

Up2date Technologies
IT Services • 1 - 10 employees

Other

Posted 15 days ago


Job description

Role: Artificial Intelligence Senior Associate
Location: Dearborn, MI (Hybrid)
Contract Type: Fulltime

Overview / Summary:
We are seeking an Artificial Intelligence Senior Associate to develop and deploy production-grade AI applications, algorithms, and intelligent automation solutions. This role focuses on building multi-agent systems, RAG pipelines, data-driven applications, and AI services that solve complex problems, generate recommendations, extract patterns, make predictions, and enable self-service capabilities.

The role involves working across generative AI, natural language processing, deep learning, cognitive automation, intelligent process automation, and related AI technologies, with a strong emphasis on production software engineering, scalability, safety, evaluation, and observability.

Required Qualifications:
Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
3+ years of experience building production software systems, including 1–2+ years working on ML/AI or LLM-based applications.
Proven experience designing and deploying multi-agent or multi-service architectures in production.
Strong Python proficiency, including asynchronoconcurrent programming.
Experience with backend frameworks such as FastAPI or Flask.
Hands-on experience with agent orchestration frameworks such as LangGraph, CrewAI, LlamaIndex, or equivalent.
Experience building RAG pipelines, including vector databases, embeddings, chunking strategies, and retrieval evaluation.
Cloud deployment experience, ideally with Google Cloud Platform.
Experience with cloud technologies such as BigQuery, Cloud Run/GKE, Vertex AI, and Pub/Sub, or equivalent AWS/Azure services.
Strong SQL skills and experience with cloud data warehouses.
Experience with containerization and CI/CD, including Docker, Kubernetes, and GitHub Actions/Cloud Build.
Experience building evaluation and observability pipelines for LLM/agent systems, including offline evaluation datasets, LLM-as-judge scoring, and tracing tools such as LangSmith, Langfuse, OpenTelemetry, or equivalent.
Understanding of LLM safety practices, including guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code or SQL.
Strong software engineering fundamentals, including API design, testing, version control, and security best practices.
Experience with Google Cloud Platform.

Preferred Qualifications:
Experience with cost optimization and model routing, including tiered pipelines and per-task or per-conversation cost modeling.
Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows.
Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data.
Familiarity with Model Context Protocol (MCP) or similar standards for tool and data integration across agents.
Experience in a startup or 0-to-1 product environment with evolving requirements.
Master's degree in Computer Science, Software Engineering, or a related field.