Luma is looking for an engineer to lead our AI Agent workstream. Luma’s future product uses Agents as a Creative Partner, to help our users in exploring ideas for imagination and curiosity across a wide range of topics and interests. We need a strong generalist engineer who can take charge of the agent workstream.
You will primarily work with LLMs and Visual models to expand the capabilities like tool usage/reasoning, real-time world knowledge, understanding of intent and long-term memory of the Creative Partner.
Successful candidates here will have already built with agents and LLMs. They’ve spent large amounts of time working with the tools and expanding/overcoming their limitations. They are exceptionally motivated and passionate to build amazing tools, and are just looking for an opportunity to work on it in a live use case, with a blue-sky mandate and an opportunity to fulfill creativity.
Responsibilities- Own the development of the AI Agent and role of LLMs within Luma’s main product, taking a highly creative, blue-sky approach to the possibilities AI Agents open up for functionality between our users and features.
- Work with design & product engineering teams to ensure the agent matches the tone and functionality that Luma is looking for.
- Work with the product and infrastructure engineering team to develop architecture that scales to millions of users, and ensure latency is kept extremely low.
- Work with the applied research team to understand and build for new GenAI features becoming available, including controllability & editability functions alongside new foundation models and how they can work in an agentic workflow.
- Experience building incredibly cool stuff with LLMs and Agents, testing and expanding their functionality beyond the industry norms. Best candidates may have built a production-level project or created an MVP to test out a startup idea.
- 5+ years of engineering experience in various tech environments, including product-driven companies.
- Strong python skills and deep understanding of end-to-end backend systems and databases.
- Has prior experience working in startup environments, either as a founder or an early-stage engineer.
$200,000 - $300,000 a year
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