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Open nowPosted 29 days ago

Staff Software Engineer, Applied AI

Lightfield25 open roles

Pay
$220,000 – $300,000 a year
Where
HQ: San Francisco
Work mode
On site
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Your applicationOpen nowStaff Software Engineer, Applied AILightfield · HQ: San Francisco
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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market. Lightfield postings stay open a median of 28 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted 29 days ago

Lightfield median: 28 days open

The posting

ABOUT LIGHTFIELD

Lightfield is reimagining CRM as a world model of a business. By learning from emails, meetings, and customer conversations, we’re building a living understanding of how a company works—so AI can help teams anticipate what comes next, make better decisions, and take action.

More than 5,000 companies have used the product since its November launch. We’ve raised more than $70M from Andreessen Horowitz, Coatue, Maverick Ventures, and Greylock to attack the biggest software category in the world. We previously built Tome, which reached more than 25 million users, and our team brings experience from Llama, Instagram, Google, and Salesforce.

ABOUT THE ROLE

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

You’ll join us at the frontier of AI product development, developing industry-leading approaches to solve important customer problems.

Engineers at Lightfield own and drive projects from inception to impact, working with teammates of all functions along the way.

You’ll also push our company’s overall product and technical vision as we learn from each project and continue to scale.

WHAT YOU'LL DO

- Collaborate with product leaders to identify customer problems, scope requirements, and implement LLM-powered solutions.

- Apply LLMs as reasoning engines to build domain-specific AI assistants.

- Create and enhance prompts, applying techniques like few-shot learning and chain-of-thought.

- Develop and optimize end-to-end RAG pipelines and agent architectures to leverage public and proprietary data.

- Improve end-to-end AI agent quality (e.g. relevance, fidelity, latency) via empirical evaluation and iteration.

- Build and enhance systems and tools that enable high-velocity experimentation (e.g. LLM-powered automated evaluation) and customized product experiences.

- Stay at the forefront of AI research and incorporate state-of-the-art techniques.

- Shape technical direction and best practices for AI application development at Lightfield.

- Help build a world-class engineering team by recruiting and mentoring teammates.

WHO YOU ARE

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

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

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

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

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

- You can drive a project with an ambiguous problem independently.

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

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

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

BENEFITS & PERKS

- Competitive salary

- Meaningful early equity

- Health insurance (medical, dental, vision)

- 3 weeks of PTO

- 11 paid company holidays + we enjoy a winter holiday break

- 3 months of paid family leave

- Wednesdays work from home

- Regular team dinners, events, offsites, and retreats

- 401k plan

- Other perks include: commuter and lunch stipend

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