Role Overview We are looking for a motivated Junior Fullstack Engineer with a strong backend focus who is eager to build great products and grow alongside a team that embraces cutting-edge technology. You write clean, thoughtful code, care about building reliable systems, and are genuinely curious about how AI development tools (like Cursor or Claude) can make you a faster, better developer from day one. KEY RESPONSIBILITIES * Build API endpoints — write DRF serializers and viewsets serving data to a React frontend, working with complex models (JSONFields, custom managers, mixin patterns). * Extend AI agent capabilities — add new tools to agents; work on context engineering, and retrieval systems. * Write async task workers — build and debug distributed RQ worker logic covering document parsing (PDF, Excel, PowerPoint) and LLM inference pipelines. * Improve test coverage — write pytest tests with real database fixtures, mock external APIs, and catch N+1 query issues. * Ship frontend features — build React/TypeScript components wired to TanStack Query, styled with SCSS Modules; work with rich text, interactive charts, and virtualized tables. * Debug AI output — diagnose and fix hallucinations and retrieval failures in agent pipelines. TECHNICAL REQUIREMENTS Required * Solid Python fundamentals — classes, tracebacks, data structures, without over-relying on AI autocomplete. * Familiarity with web APIs: HTTP methods, JSON serialization, request/response cycles. * Comfort with Git: branching, rebasing, resolving merge conflicts. * Experience with at least one relational database: SQL queries and basic schema design. * Comfortable working with AI-based tools like Cursor, Claude Code, etc. * Genuine curiosity about AI/ML — LLM API usage, a RAG pipeline, or serious experimentation beyond chatting with ChatGPT. * Ability to debug AI-generated code — shipping broken AI output is worse than writing it yourself. Nice to Have * Django or Flask experience. * React/TypeScript exposure, even from a personal project. * Familiarity with Docker and containerized development. * Experience with vector databases, embeddings, or LLM orchestration (LangChain, LangGraph, etc.). * A deployed project you can demo — valued more than GPA. Tech Stack * Backend: Python 3.13, Django 5.2, Django REST Framework, PostgreSQL, Redis. * AI/ML: OpenAI, Anthropic & Google LLM APIs; LangChain + LangGraph; sentence-transformers; RAGAS. * Data: NumPy, Pandas, Polars, scikit-learn, XGBoost, PyMC, Prophet, Plotly. * Frontend: React 19, TypeScript, Vite, Ant Design, TanStack Query, SCSS Modules. * Infra: Docker, GitHub Actions CI/CD, AWS (S3, ECR), MinIO, Sentry, RQ. WHAT WE OFFER * Mentorship and hands-on learning alongside senior engineers. * Opportunity to ship production code from day one on a real AI platform. * A culture that embraces AI tooling, rigorous testing, and continuous tech innovation.