Senior Python GenAI Engineer (Remote) – FastAPI / MCP / Azure

Tandym Tech; McLean (VA); Remote; USD 140,000 - 230,000; Full time

Job summary

Tandym Tech is seeking a Senior Python GenAI Engineer for a remote role focused on building scalable GenAI applications and APIs using Python, FastAPI, FastMCP, and Azure.

Responsibilities include designing, developing, and deploying production-grade APIs, supporting full lifecycle, and integrating GenAI/LLM solutions with modern AI tools. Collaboration on cloud-native, DevOps practices will ensure reliable performance.

Qualifications

• Strong proficiency in Python.
• Proven experience designing and developing applications with FastAPI and FastMCP.
• Hands-on experience building scalable, production-grade APIs.
• Experience with Microsoft Azure.
• Experience with Generative AI and LLM integrations.
• Experience with GitHub Actions, Docker, and Kubernetes or AKS.

Responsibilities

• Design, develop, and implement applications using Python, FastAPI, and FastMCP.
• Build scalable, production-grade APIs and end-to-end solutions.
• Support the full application lifecycle, including implementation, deployment, monitoring, and observability.
• Develop and integrate GenAI and LLM-based solutions using modern AI tools and frameworks.
• Collaborate on cloud-native and DevOps-enabled delivery practices for reliable application performance.

Skills

Python

FastAPI

FastMCP

Azure

GenAI integration

LLM knowledge

GitHub Actions

Docker

Kubernetes/AKS

Tools

Docker

Kubernetes/AKS

GitHub Actions

Job description

A health services organization is seeking a Senior Python GenAI Engineer (FastAPI / MCP / Azure) for a remote role, focused on building scalable, production-grade GenAI applications and APIs with a strong emphasis on Python, FastAPI, FastMCP, and Azure.

About the Opportunity

Shift

Day shift

Schedule

Monday to Friday

Hours

Standard business

Setting

Remote

Responsibilities

Design, develop, and implement applications using Python, FastAPI, and FastMCP

Build scalable, production-grade APIs and end-to-end solutions

Support the full application lifecycle, including implementation, deployment, monitoring, and observability

Develop and integrate GenAI and LLM-based solutions using modern AI tools and frameworks

Collaborate on cloud-native and DevOps-enabled delivery practices for reliable application performance

Qualifications

Strong proficiency in Python

Proven experience designing and developing applications with FastAPI and FastMCP

Hands-on experience building scalable, production-grade APIs

Experience with Microsoft Azure

Experience with Generative AI and LLM integrations

Experience with GitHub Actions, Docker, and Kubernetes or AKS

Desired Skills

Experience with Azure services such as AKS, Cosmos DB, and Azure Cache for Redis

Exposure to OpenAI GPT and Anthropic Claude

Familiarity with AI-assisted development tools such as Claude, Codex, and VS Code