Senior GenAI Fullstack Engineer (React & Python)

Project description

We are looking for a Full Stack Engineer with hands-on GenAI experience to join a team building AI-powered applications for a major US insurance provider. You will deliver features end to end, from modern React/Next.js user interfaces to Python/FastAPI services and MCP servers that connect AI agents to enterprise systems, all running on Microsoft Azure. The role combines strong fullstack engineering with practical work on LLMs, agents and prompt engineering.

Core Technology Stack:
Frontend: React.js, Next.js, Hooks, SSR / ISR, API Routes
Backend: Python, FastAPI, FastMCP
APIs: REST, GraphQL
GenAI / LLMs: Agents, LLM / GenAI, AI Models, Prompt Engineering
Cloud: Microsoft Azure
Databases: SQL, NoSQL
Testing: Jest, Pytest, Cypress
Other: TypeScript, Git, Microservices

Responsibilities

• Build responsive, high-performance user interfaces with React.js and Next.js, using Hooks, SSR / ISR and API Routes.

Develop user experiences for GenAI features, such as AI assistants, chat interfaces, streaming responses and agent-driven workflows.
Design and develop backend services and microservices in Python using FastAPI.
Build MCP servers using FastMCP to expose enterprise data and tools to AI agents.
Integrate LLMs and AI models into applications, applying prompt engineering, tool/function calling and structured outputs.
Design, implement and integrate REST and GraphQL APIs between frontend, backend and AI services.
Work with SQL and NoSQL databases to model and manage application data.
Deploy and run applications on Microsoft Azure.
Write automated tests across the stack using Jest, Pytest and Cypress.
Use AI-assisted development tools as part of the daily engineering workflow.
Collaborate with client stakeholders, architects, GenAI engineers and QA to deliver end-to-end features.
Participate in code reviews and contribute to engineering standards.

SKILLS

Must have

• Strong proficiency in React.js and Next.js, including Hooks, SSR / ISR and API Routes.

Solid backend experience in Python using frameworks such as FastAPI.
Hands-on experience building MCP servers with FastMCP.
Practical experience building or integrating AI agents and LLM-based features into applications.
Experience with Microsoft Azure for deploying and running applications.
Experience with REST / GraphQL API design and integration.