GenAI Engineer (Full Stack or Backend Engineer)
Job details
- Work mode
- Remote
- Posted
- Oct 12, 2026
- Last confirmed open
- Oct 12, 2026
About this role
Project description
Join Our Team: Innovating Health Care with Cutting-Edge Technology.
We are looking for an experienced GenAI Engineer to design and develop scalable, production-grade AI applications and APIs. The role requires strong hands-on expertise in FastAPI, FastMCP, Agentic Workflows, LLM/GenAI, and Microsoft Azure, with responsibility across the full application lifecycle from development through deployment, monitoring, and observability.
Responsibilities
- Design and develop scalable GenAI applications and production-grade APIs using Python, FastAPI, and FastMCP.
- Build and implement agentic workflows and LLM-powered solutions.
- Integrate applications with LLMs such as OpenAI GPT and Anthropic Claude.
- Develop and deploy solutions within Microsoft Azure environments.
- Own end-to-end application development, deployment, monitoring, and observability.
- Implement containerization and CI/CD practices using Docker, Kubernetes/AKS, and GitHub Actions.
- Use AI-assisted development tools such as Claude, Codex, and VS Code to accelerate development, debugging, and delivery.
- Skills Must have Candidates must have ALL five mandatory skills: FastAPI, FastMCP, Agentic Workflows, LLM/GenAI, and Microsoft Azure along with strong proficiency in Python, with proven experience designing, developing, and implementing applications using FastAPI and FastMCP.
- Candidates should have hands-on experience developing GenAI solutions and integrating LLMs such as OpenAI GPT and Anthropic Claude, as well as experience with deployment, monitoring, observability, containerization, and modern DevOps practices: 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.
- Nice to have Advanced Azure Services: Familiarity with specialized Azure services such as AKS (Azure Kubernetes Service), Cosmos DB, and Azure Cache for Redis.
DevOps & Containerization
Good understanding of modern containerization practices and CI/CD pipelines, including hands-on experience with GitHub Actions, Docker, and Kubernetes.
AI-Assisted Tools
Experience leveraging advanced AI-assisted development tools and IDEs (such as Claude, Codex, and VS Code) for enhanced engineering productivity.
Exceptional communication skills.
Ability to deliver exceptional customer service with a positive attitude.
Other
Languages
English: C1 Advanced
Seniority
Senior
Remote United States, United States of America
Req. VR-125060
Python
Cross Industry Solutions
12/10/2026
Req. VR-125060