Full stack engineer I

Duties You will build out a new AI-powered web product on top of an existing, production-proven platform. The infrastructure, DevOps pipeline, architecture patterns, and core abstractions are already in place and meant to be reused — your job is to implement new product features, not to design or stand up systems from scratch. Concretely, you will: Implement backend API routes, services, and database models by porting and adapting established patterns (FastAPI, SQLModel, Alembic, Celery/Redis) from the reference codebase Build the product's primary user-facing frontend — a multi-stage guided journey — using the existing Next.js 15 / React 19 App Router shell, component library, state management, and API-client patterns Wire LLM-powered scoring and evaluation logic as plain Python inside a Celery worker, following an established pattern for structured LangChain calls with Pydantic-typed outputs Integrate with the team's AI Gateway (Azure OpenAI-compatible) and existing observability tooling (Langfuse tracing) Write unit and integration tests following patterns already established in the repo; contribute migrations via Alembic You are expected to interact directly with internal product stakeholders and technical leads to understand requirements, translate them into well-scoped implementations, and flag scope or design questions early. You will be delivering production code that routes through an existing CI/CD pipeline (GitHub Actions -> JFrog -> cloud redeploy on merge to main), but may need to contribute to the initial DevOps and Infra setup as well. Skills AI-augmented development mindset is required. You are expected to use AI coding tools actively and fluently throughout your workflow — for code generation, exploration, review, and documentation. The codebase and patterns are designed to be readable and transferable; use every tool available to move fast. Solid Python (3.10+) and TypeScript/JavaScript with React and NextJS. Familiarity with Python async patterns (FastAPI, Celery), SQLModel or SQLAlchemy, and Pydantic typing; comfort with React and Next.js App Router. Working understanding of microservices and container-based development (Docker / docker-compose). You will use these every day; you will not be designing them. Comfort reading and adapting existing patterns rather than inventing new ones — this role rewards developers who recognise a good solution and apply it correctly over those who prefer to build from first principles. Familiarity with LLM APIs (OpenAI-compatible), prompt engineering basics, and structured output patterns (e.g. .with_structured_output(PydanticModel) via LangChain) is a strong plus. Experience with relational databases (PostgreSQL), schema migrations, and basic SQL. Ability to communicate clearly with non-technical stakeholders; comfort raising questions and flagging blockers early rather than silently working around them. Stack you will work in day-to-day Python 3.13 FastAPI Celery Redis PostgreSQL SQLModel Alembic LangChain Azure OpenAI Next.js 15 (App Router) React 19 TypeScript Zustand Tailwind CSS v4 Radix UI Bun uv Ruff Docker GitHub Actions Education Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.