Melow is building the AI Operating System for data, a dynamic ontology engine and AI worker that executes autonomous workflows with transparent reasoning across real tools. They are creating AI middleware that helps AI understand data the way only data teams do: to reason, plan, and act inside real systems.
Requirements
- Strong Python skills
- Familiarity with LLM frameworks and vector DBs
- Experience with data infrastructure and cloud
- Python
- LLM frameworks (LangChain
- LlamaIndex
- Haystack)
Responsibilities
- Build orchestration, memory, and execution logic for scalable autonomous systems using Python and open-source LLM frameworks (LangChain, LlamaIndex, etc).
- Contribute to our automated systems that connect structured and unstructured data into a unified “data brain.”
- Help develop pipelines that combine LLMs with symbolic reasoning and long-term memory.
- Build and maintain metadata stores, data connectors, ETL, and vectorized storage (Chroma, Pinecone, Weaviate).
- Ship APIs and basic frontends when needed to move fast and gather customer feedback.
Other
- 3+ years of experience in backend, infra, or AI systems engineering
- Startup-ready
- Builder mindset
