• Strong Python engineering skills and proven ability to ship production systems
• Experience building with LLMs (OpenAI-style APIs, tool calling, RAG, structured generation)
• Experience deploying ML/LLM services in production (cloud, containers, serverless, async pipelines)
• Practical understanding of video/image processing (CV or media pipelines)
• High autonomy: you can take vague problems and turn them into shipped solutions
• Strong engineering fundamentals: clean code, reliability, performance, and cost awareness
• Agent orchestration frameworks (LangGraph, LangChain, AutoGen, CrewAI, etc.)
• Experience with vector search / embeddings / retrieval systems
• Experience with workflow orchestration (queues, batch jobs, event-driven systems)
• Experience with PyTorch and GPU inference optimization
• Experience working on media-heavy products (video editing, video generation, large file pipelines)
• Small team, high trust, high ownership
• Bias to action and shipping
• Lightweight specs, fast iteration
• Strong focus on developer experience, testing where it matters, and observability
• Location preference