Staff Software Engineer (Applied AI)
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- 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
- 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
Benefits
- 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
- 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