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Salary
$220k – $300k per year
Location
Hybrid (San Francisco, United States)
Seniority
Staff · 7+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Aug 7, 2026.

Overview
Company
Impact
Profile match
Tome builds generative storytelling and presentation software. Its models draft narrative documents and slides from a short prompt. The company later focused its product on sales research and outreach.

Join Lightfield, a cutting-edge AI product development company, as a Staff Software Engineer (Applied AI). In this role, you will drive projects from inception to impact, collaborate with product leaders, and shape the technical direction of AI application development. You will also have the opportunity to build and enhance systems that enable high-velocity experimentation and stay at the forefront of AI research. Enjoy meaningful early equity, health insurance, 3 weeks of PTO, and other perks.

Missions

  • Collaborer avec les leaders produits pour identifier les problèmes des clients, définir les exigences et mettre en œuvre des solutions alimentées par les LLM.
  • Appliquer les LLM en tant que moteurs de raisonnement pour construire des assistants AI spécifiques au domaine.
  • Développer et optimiser des pipelines RAG de bout en bout et des architectures d'agents pour tirer parti des données publiques et propriétaires.

Profil recherché

- We’re looking for a driven, creative engineer who is excited about the challenge of leveraging LLMs to build exceptionally innovative product experiences

- You are able to clearly communicate your reasoning and decisions to your teammates (technical and nontechnical) at an appropriate altitude of detail

- You are excited to develop new best practices in an emerging domain

- You have a degree in Computer Science or a related field, with a strong foundation in software engineering principles

- You enjoy strategically balancing ambitious vision with frequent delivery of user value

- You are passionate about keeping up with and exploring the latest advancements in LLMs and LLMOps (including open source solutions)

- You can drive a project with an ambiguous problem independently

- You are familiar with AI and ML concepts (e.g. training, evaluation techniques)

- You have explored working with LLMs, either through professional projects or personal experimentation

- You have 7+ years experience and the ability to ramp up quickly on a tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and Aurora PostgreSQL

- You are energized by building software experiences customers will use directly and depend on to do their jobs successfully

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