Senior Full Stack (React and Python)
- Almatý
- Astaná
- Belgrado
- Bengaluru
- Breslavia
- Cluj-Napoca
- Cracovia
- Dnipró
- Ereván
- Járkov
- Kyiv
- Lárnaca
- Leópolis
- Lodz
- Lublinie
- Odesa
- Remote.Bulgaria
- Remote.Georgia
- Remote.Kazakhstan
- Remote.Poland
- Riga
- Sofia
- Tiflis
- Varna
- Varsovia
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Client
Project overview
Position overview
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.
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