AI Python Developer

Risamsoft Inc; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

You will work with OpenAI GPT, Anthropic Claude, and GenAI tooling, leveraging GitHub Actions, Docker, Kubernetes, AKS, and Cosmos DB to scale APIs from development to production. Excellent collaboration skills and cloud expertise are essential for success.

Qualifications

• Proficient in Python with design/implementation of apps
• Experience building scalable production-grade APIs
• Strong knowledge of FastAPI and FastMCP
• Azure experience is preferred
• Experience with GenAI ecosystems and LLMs
• Hands-on with AI-assisted development tools (Claude, Codex, VS Code)
• DevOps practices and containerization (GitHub Actions, Docker, Kubernetes)

Responsibilities

• Design and build scalable, production-grade APIs and end-to-end solutions
• Oversee deployment, monitoring, and observability of services
• Collaborate across teams on GenAI integrations and cloud-native architecture

Skills

Python

FastAPI

GenAI

Azure

LLM integrations

DevOps

CI/CD

Containerization

Tools

GitHub Actions

Docker

Kubernetes

AKS

Azure Cosmos DB

Azure Cache for Redis

Claude

Codex

VS Code

Job description

Required Skills & Experience

• Strong proficiency in Python, with proven experience designing, developing, and implementing applications using FastAPI and FastMCP.
• Ability to build scalable, production-grade APIs and end-to-end solutions, covering the complete development lifecycle from implementation and deployment to monitoring and observability.
• Experience with Microsoft Azure is highly preferred.
• Familiarity with Azure services such as AKS, Cosmos DB, and Azure Cache for Redis is a strong plus.
• Solid hands-on experience across the Generative AI ecosystem, including developing applications that consume and integrate with LLMs such as OpenAI GPT and Anthropic Claude.
• Strong hands-on experience with AI-assisted development tools and IDEs, such as Claude, Codex, and VS Code.
• Good understanding of DevOps and containerisation practices, including experience with GitHub Actions, Docker, and Kubernetes / AKS.

Core Technology Stack

Area Technologies / Skills

• GenAI / LLMs OpenAI GPT, Anthropic Claude, LLM Integrations, GenAI Ecosystem
• DevOps GitHub Actions, Docker
• Cloud Microsoft Azure, AKS, Cosmos DB, Azure Cache for Redis

Engineering Focus

Scalable APIs, End-to-End Application Development, Deployment, Monitoring, Observability