Fullstack Engineer JR (Backend + AI)

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

1. Build API endpoints — write DRF serializers and viewsets serving data to a React frontend, working with complex models (JSONFields, custom managers, mixin patterns).
2. Extend AI agent capabilities — add new tools to agents; work on context engineering, and retrieval systems.
3. Write async task workers — build and debug distributed RQ worker logic covering document parsing (PDF, Excel, PowerPoint) and LLM inference pipelines.
4. Improve test coverage — write pytest tests with real database fixtures, mock external APIs, and catch N+1 query issues.
5. Ship frontend features — build React/TypeScript components wired to TanStack Query, styled with SCSS Modules; work with rich text, interactive charts, and virtualized tables.
6. Debug AI output — diagnose and fix hallucinations and retrieval failures in agent pipelines.

Technical Requirements

Required

1. Solid Python fundamentals — classes, tracebacks, data structures, without over-relying on AI autocomplete.
2. Familiarity with web APIs: HTTP methods, JSON serialization, request/response cycles.
3. Comfort with Git: branching, rebasing, resolving merge conflicts.
4. Experience with at least one relational database: SQL queries and basic schema design.
5. Comfortable working with AI-based tools like Cursor, Claude Code, etc.
6. Genuine curiosity about AI/ML — LLM API usage, a RAG pipeline, or serious experimentation beyond chatting with ChatGPT.
7. Ability to debug AI-generated code — shipping broken AI output is worse than writing it yourself.

Nice to Have

1. Django or Flask experience.
2. React/TypeScript exposure, even from a personal project.
3. Familiarity with Docker and containerized development.
4. Experience with vector databases, embeddings, or LLM orchestration (LangChain, LangGraph, etc.).
5. A deployed project you can demo — valued more than GPA.

Tech Stack

1. Backend: Python 3.13, Django 5.2, Django REST Framework, PostgreSQL, Redis.
2. AI/ML: OpenAI, Anthropic & Google LLM APIs; LangChain + LangGraph; sentence-transformers; RAGAS.
3. Data: NumPy, Pandas, Polars, scikit-learn, XGBoost, PyMC, Prophet, Plotly.
4. Frontend: React 19, TypeScript, Vite, Ant Design, TanStack Query, SCSS Modules.
5. Infra: Docker, GitHub Actions CI/CD, AWS (S3, ECR), MinIO, Sentry, RQ.

What We Offer

1. Mentorship and hands-on learning alongside senior engineers.
2. Opportunity to ship production code from day one on a real AI platform.
3. A culture that embraces AI tooling, rigorous testing, and continuous tech innovation.