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Mid-level (4–6 yrs) role with a generalist platform title but niche agentic specialization moderates competition.
Requires deep agentic production experience and AI platform skills, reducing cross-industry transferability.
Explicit 4–6 year requirement plus mandatory agentic production experience and Python requirement tightens filters.
Build and evolve the core framework that creates and orchestrates agentic systems used in production across Lyric.
Design and implement production-grade agentic loops, tools, abstractions, and execution patterns supporting multiple agent use cases.
Own end-to-end engineering problems from approach design to implementation, contributing original ideas and evaluating emerging AI techniques for production use.
Experience: 4–6 years of software engineering, with significant hands-on production experience building agentic systems or applications.
Technical skills: Proficient in Python; experience with agent frameworks, orchestration, multi-step execution, or similar agentic architectures in production environments.
Strong software engineering fundamentals and a demonstrated ability to independently solve ambiguous engineering problems and ship working systems.
Work Experience Required: Real production experience building agentic systems, not just personal projects or proofs of concept; exact tech stack knowledge not mandatory as long as underlying agentic concepts are well understood.
Engineer with demonstrated ability to invent and implement new agentic software infrastructure rather than just applying existing frameworks or models.
Experience working at the intersection of backend or full-stack development and applied AI, comfortable navigating rapidly evolving technical architectures and emerging AI research.
Proactive in experimenting with and adopting new agentic techniques ahead of standards, capable of translating ambiguous problems into functioning scalable systems without step-by-step guidance.