Offer summary

Qualifications:

5+ years of engineering experience in diverse tech environments., Strong proficiency in Python and understanding of backend systems and databases., Experience building and expanding AI agents and large language models (LLMs)., Prior experience in startup settings, either as a founder or early-stage engineer..

Key responsibilities:

Lead the development of AI Agents and integrate LLMs into Luma's main product.

Collaborate with design and engineering teams to ensure the agent's functionality and tone meet product goals.

Design scalable architecture to support millions of users with low latency.

Work with research teams to incorporate new GenAI features and foundation models.

Job description

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 usagereasoning, realtime 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 bluesky 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