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

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Build API endpoints — write DRF serializers and viewsets serving data to a React frontend, working with complex models (JSONFields, custom managers, mixin patterns).

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Extend AI agent capabilities — add new tools to agents; work on context engineering, and retrieval systems.

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Write async task workers — build and debug distributed RQ worker logic covering document parsing (PDF, Excel, PowerPoint) and LLM inference pipelines.

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Improve test coverage — write pytest tests with real database fixtures, mock external APIs, and catch N+1 query issues.

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Ship frontend features — build React/TypeScript components wired to TanStack Query, styled with SCSS Modules; work with rich text, interactive charts, and virtualized tables.

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Debug AI output — diagnose and fix hallucinations and retrieval failures in agent pipelines.

Technical Requirements

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Solid Python fundamentals — classes, tracebacks, data structures, without over-relying on AI autocomplete.

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Familiarity with web APIs: HTTP methods, JSON serialization, request/response cycles.

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Comfort with Git: branching, rebasing, resolving merge conflicts.

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Experience with at least one relational database: SQL queries and basic schema design.

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Comfortable working with AI-based tools like Cursor, Claude Code, etc.

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Genuine curiosity about AI/ML — LLM API usage, a RAG pipeline, or serious experimentation beyond chatting with ChatGPT.

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Ability to debug AI-generated code — shipping broken AI output is worse than writing it yourself.

Nice to Have

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Django or Flask experience.

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React/TypeScript exposure, even from a personal project.

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Familiarity with Docker and containerized development.

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Experience with vector databases, embeddings, or LLM orchestration (LangChain, LangGraph, etc.).

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A deployed project you can demo — valued more than GPA.

Tech Stack

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Backend: Python 3.13, Django 5.2, Django REST Framework, PostgreSQL, Redis.

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AI/ML: OpenAI, Anthropic & Google LLM APIs; LangChain + LangGraph; sentence-transformers; RAGAS.

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Data: NumPy, Pandas, Polars, scikit-learn, XGBoost, PyMC, Prophet, Plotly.

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Frontend: React 19, TypeScript, Vite, Ant Design, TanStack Query, SCSS Modules.

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Infra: Docker, GitHub Actions CI/CD, AWS (S3, ECR), MinIO, Sentry, RQ.

What We Offer

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Mentorship and hands-on learning alongside senior engineers.

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Opportunity to ship production code from day one on a real AI platform.

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A culture that embraces AI tooling, rigorous testing, and continuous tech innovation.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

📌 Fullstack Engineer JR (Backend + AI) (NW - FS - 20260609)
🏢 Importante grupo
📍 Buenos Aires