Job Title: GenAI Engineer
Location: Plano, TX
Duration: 8 Months + Extension
Bill Rate: $82/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
Job Description:
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.