Build and scale the intelligence backend across Python, PostgreSQL, and vector search.
Design APIs serving multiple product surfaces from a single intelligence layer.
Own data pipelines to ingest, validate, transform, and enrich content at scale.
Develop agentic AI workflows with robust multi-step pipelines and observability.
Build reliable services powering LLMs and AI workflows in a regulated domain.
Collaborate in a small, high-output team delivering production systems.

🎯 Requirements

4-8 years of professional software engineering experience.
Strong Python proficiency with type hints and clean module design.
Production PostgreSQL experience including query optimization and migrations.
Docker and containerized deployments experience.
Experience with agentic AI systems, RAG pipelines, or LLM workflows.
Familiarity with vector search or semantic retrieval (Typesense, Pinecone, Weaviate).

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