Senior Full Stack (React and Python)

About the Position

We are looking for a skilled Full-Stack Software Engineer to enhance applications with generative AI capabilities. You will integrate LLMs via Amazon Bedrock or Snowflake Cortex using Python (FastAPI) and build advanced RAG features, prompt chaining, and streaming AI responses into React UIs.

About the Project

DataArt's experts together with developers on the client's side are creating new banking apps and upgrading the old ones using the latest technology. In particular, our team is now developing a new digital portal which streamlines and automates the loan and lease management process.

Responsibilities

• Design, develop, and maintain Python backend services using FastAPI.
• Integrate large language models (LLMs) into applications for AI-driven features.
• Build scalable React.js frontends with functional components, hooks, and performance optimizations.
• Implement retrieval-augmented generation (RAG) patterns and streaming AI responses.
• Develop and consume REST and GraphQL APIs, including real-time features.
• Ensure code quality with testing frameworks such as PyTest and React Testing Library.
• Manage containerized deployments using Docker and orchestration tools like Kubernetes and Helm.
• Apply secure development best practices including OWASP guidelines, JWT/OIDC authentication, rate limiting, and input validation.
• Collaborate with cross-functional teams to define and deliver AI-enabled product features.

Requirements

• 8 years of professional development experience.
• Strong senior-level expertise in frontend development with JavaScript/TypeScript and React.js (functional components, hooks, context, custom hooks, performance optimization).
• Strong expertise in Python (FastAPI is essential; Django/Flask experience is welcomed).
• Experience building and consuming REST/GraphQL APIs and real-time features.
• Solid understanding of testing tools and frameworks, including PyTest, Playwright/Cypress, and React Testing Library.
• Experience with containerization and orchestration technologies, including Docker, Kubernetes, and Helm.
• Knowledge of secure development practices, including OWASP, JWT/OIDC, rate limiting, and input validation.

Nice to Have

• Hands-on experience integrating LLMs into web applications (Amazon Bedrock, Snowflake Cortex, LangChain/LlamaIndex in Python).
• Building RAG-based features (vector stores, semantic search, streaming responses in React).
• Previous work on AI-powered chat/assistant interfaces or document intelligence.
• AWS services: Lambda, API Gateway, Step Functions, EventBridge.
• Experience with LLM APi/MCP.
• Event-driven architecture and Kafka.
• Financial services or regulated environment experience.