Hybrid Lead AI Engineer, Agentic Workflows

Posted 3 weeks ago

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About the role

  • 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.

Job title

Lead AI Engineer, Agentic Workflows

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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