Lead AI Engineer developing production-grade AI agents for the music industry. Designing orchestration workflows and ensuring reliability and performance of autonomous systems in the music distribution sector.
Responsibilities
Own the architecture and execution of the "Agentic Core."
Move from "Prototype" to "Production," solving high-stakes reliability problems.
Build automated evaluation pipelines to ensure agent reliability.
Design multi-step workflows for agent orchestration and planning.
Own the "Unit Economics" of AI, optimizing context windows and model routing.
Ensure agents output perfectly formatted JSON, XML, and legal syntax.
Requirements
5+ years of software engineering experience, with at least 2+ years deeply focused on LLM/AI applications in production.
Proven track record of building and deploying Retrieval Augmented Generation systems that scale.
Expert-level command of Python for backend development (FastAPI/Django/Flask).
Hands-on experience with tools like LangChain, LangGraph, DSPy, or similar custom implementations.
Experience with Vector Databases (Pinecone, Milvus, or Postgres with pgvector) and relational database design.
Benefits
Competitive Compensation: Attractive salary package reflecting the seniority of the role.
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