Qualification

Strong product judgment and executionExperience building agent permissionsExperience with mid-training

Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply.
Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale.
Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions.
Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution.
Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact.
Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors.

Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution.
Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks.
Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems.
Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks.
AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact.
Time spent at a fast-growing startup or on a high-ownership engineering team.

Member of Technical Staff (AI Software Engineer, Agent Engine) at Perplexity · LumiJobs

Member of Technical Staff (AI Software Engineer, Agent Engine)