About the role
Requirements:
- (1+/3+) years of engineering experience, or a strong portfolio of shipped projects.
- Solid Python fundamentals: clean, working, readable code.
- Hands-on experience with LLM APIs and prompt engineering (personal projects count).
- Comfort with Git, REST APIs, and working in a Linux environment.
- A feel for content and narrative; you can judge whether generated output is actually good, not just valid.
- Curiosity and clear communication: you ask good questions and don't stay stuck silently.
Preferred:
- Exposure to agent/orchestration frameworks (LangGraph, LangChain, CrewAI).
- Familiarity with vector databases, embeddings, or RAG (Qdrant, pgvector).
- Hands-on work with open-source generative media models Flux, LTX, Wan, or similar.
- Experience deploying open-source models for inference (vLLM, ComfyUI, Replicate/Cog, Docker + GPU).
- Experience writing evals or LLM-as-judge scoring.
- Node.js and FastAPI familiarity, or experience deploying on AWS.