Senior GenAI Fullstack Engineer (React & Python)

Luxoft; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Luxoft is seeking a Full Stack Engineer with GenAI experience to build AI-powered apps for a major US insurance provider. You will deliver features end-to-end from modern React/Next.js UIs to Python/FastAPI backends and MCP servers on Microsoft Azure.

Role blends front-end and back-end development with hands-on GenAI work, agents, prompt engineering and AI models. You will collaborate with stakeholders and QA to ship robust, scalable solutions.

Qualifications

• Proficient in building full-stack apps with React.js/Next.js and Python backends.
• Experience delivering GenAI features, agents and prompt-driven workflows.
• Strong Azure deployment and REST/GraphQL API design skills.

Responsibilities

• Build responsive UI with React/Next.js, using Hooks and SSR/ISR.
• Design and develop Python backends with FastAPI and related services.
• Create MCP servers using FastMCP to expose enterprise data to AI agents.
• Integrate LLMs and AI models with prompt engineering and tool calling.
• Design REST and GraphQL APIs connecting frontend, backend and AI services.
• Collaborate with stakeholders and QA to ship end-to-end features.

Skills

React.js

Next.js

Hooks

SSR / ISR

API Routes

Python

FastAPI

FastMCP

GenAI / LLMs

Agents

Prompt Engineering

Azure

REST

GraphQL

SQL

NoSQL

TypeScript

Git

Microservices

Testing (Jest Pytest Cypress)

English communication

Tools

MCP servers (FastMCP)

Job description

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 RoutesBackend: Python, FastAPI, FastMCPAPIs: REST, GraphQLGenAI / LLMs: Agents, LLM / GenAI, AI Models, Prompt EngineeringCloud: Microsoft AzureDatabases: SQL, NoSQLTesting: Jest, Pytest, CypressOther: 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.Familiarity with SQL and NoSQL databases.Understanding of HTML, CSS, TypeScript and modern build tools (e.g., Vite, Webpack, Turbopack).Working knowledge of Git.Exposure to microservices architecture.Experience with testing frameworks such as Jest, Pytest and Cypress.Experience with Generative AI, including AI models, prompt engineering and AI-assisted development tools.Upper-Intermediate (B2) or higher English, with the ability to communicate directly with US-based stakeholders.

Nice to have

Experience building GenAI applications in insurance or financial services.Experience with OpenAI GPT, Anthropic Claude or Azure OpenAI APIs.Familiarity with RAG, vector search and LLM orchestration frameworks (e.g., LangChain, LangGraph).Experience with frontend AI tooling such as the Vercel AI SDK.Experience with Docker, GitHub Actions and AKS.Familiarity with AuthN/AuthZ (OAuth 2.0, Entra ID) and compliance requirements for PII in regulated industries.