GenAI Fullstack Engineer: Build AI Agents (React/Python)

Luxoft

United States

Teletrabalho

USD 120 000 - 180 000

Tempo integral

14 dias+

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Resumo da oferta

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.

Qualificações

  • 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.

Responsabilidades

  • 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.

Conhecimentos

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

Ferramentas

MCP servers (FastMCP)

Descrição da oferta de emprego

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.

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