Asks for

The ad says“Develop and optimize end-to-end RAG pipelines and agent architectures to leverage public and proprietary data”
The ad says“You are familiar with AI and ML concepts (e.g. training, evaluation techniques)”
The ad says“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”
The ad says“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”
The ad says“Create and enhance prompts, applying techniques like few-shot learning and chain-of-thought”
The ad says“Create and enhance prompts, applying techniques like few-shot learning and chain-of-thought”
The ad says“Apply LLMs as reasoning engines to build domain-specific AI assistants”
The ad says“You are passionate about keeping up with and exploring the latest advancements in LLMs and LLMOps (including open source solutions)”
The ad says“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”
The ad says“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”
The ad says“Develop and optimize end-to-end RAG pipelines and agent architectures to leverage public and proprietary data”
The ad says“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”
The ad says“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’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
Regular team dinners, events, offsites, and retreats
Wednesdays work from home
401k plan
Other perks include: commuter and lunch stipend

Preferred experience

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