Lead Full-Stack GenAI Developer (Contractor)

About the Role

We are seeking a Senior Lead Full-Stack GenAI Developer for a 6-month contract engagement to lead the end-to-end hands-on build, integration, and deployment of enterprise GenAI and Agentic AI applications. Partnering closely with our Principal AI Solution Architect, you will own the full-stack development—spanning backend Python services, frontend interfaces, retrieval pipelines, AI agents, enterprise integrations, and GenAIOps.

Key Responsibilities

• Hands-on AI Implementation: Personally author and maintain production-grade Python microservices, custom APIs, retrieval (RAG) systems, and agentic workflows.
• Full-Stack Application Building: Create reviewer workbenches, operational dashboards, and user interfaces using React / TypeScript paired with backend-for-frontend APIs.
• Enterprise Integration: Seamlessly integrate AI services into enterprise data pipelines, APIs, databases, and platform ecosystems including Microsoft Azure , Databricks , and Microsoft Foundry .
• Evaluation & GenAIOps: Design automated evaluation test suites (RAG metrics, model latency, cost, groundedness) and establish CI/CD pipelines, Infrastructure-as-Code (IaC), containerization, and end-to-end telemetry.
• Reusable Capabilities & Mentorship: Standardize repeated delivery patterns into reusable SDKs, component libraries, and templates, while mentoring internal engineering team members.

Requirements

Required Qualifications

• Seniority & Experience: Proven track record as a Senior or Lead Engineer personally contributing code to production-deployed GenAI systems.
• Backend & AI Core: Deep Python proficiency, REST/GraphQL APIs, RAG architectures, vector databases, prompt engineering, agentic frameworks, and automated LLM evaluation practices.
• Frontend UI: Strong production skills in React and TypeScript .
• Cloud & Platform Ecosystems: Practical experience within Microsoft Azure (Azure OpenAI, Azure AI Search) and Databricks environments.
• Data & Ops: Proficiency in SQL, data engineering pipelines, CI/CD, Docker/containers, Infrastructure-as-Code, and runtime telemetry/monitoring.

Important Candidate Note:

Candidates focused primarily on prompt design, research notebooks, architectural oversight, project coordination, or generic web development without recent, hands-on production AI coding, enterprise integration, deployment automation, and production support will not be considered for this role.