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Applied AI Engineer (LLM Focus)

United States
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Seeking an Applied AI Engineer to build and productionize user-facing LLM features. Responsibilities include prompt engineering, agent design, rigorous evaluation, and rapid iteration. Requires hands-on experience shipping LLM features and strong production engineering skills.

Key Highlights
Build new AI features end-to-end, from prototype to production.
Improve AI output quality through prompt engineering, model selection, retrieval, and evaluation.
Hands-on experience building LLM-powered features that shipped to real users.

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Key Responsibilities
Build new AI features end to end, from prototype to production.
Improve AI output quality through prompt engineering, model selection, retrieval, and evaluation.
Design and run evals that measure real output quality, not just first impressions.
Iterate fast on prompts, agent designs, and orchestration patterns.
Partner with the Product Engineer to translate requirements into AI features that actually work.
Partner with the AI Platform team to land features on solid infrastructure.
Evaluate new models, tools, and techniques when they improve quality, latency, cost, or reliability.
Technical Skills Required
TypeScript Python Amazon Web Services

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Benefits & Perks
$180K - $250K
Competitive equity
E3 visas. H1B Transfers. TNs.

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Nice to Have
Experience with Anyscale Ray or similar distributed compute frameworks for batch inference, eval pipelines, or scaling agent workloads
Open source contributions in the LLM or agent tooling space
Familiarity with pgvector or other vector retrieval systems
Experience with post-training or fine-tuning

Job Description

NOTE :

Min of 2 years experience in early stage, high growth, VC backed start-up

Please have your latest work experience verified on LinkedIn

About the job

One of our start-up clients is hiring a full-time Applied AI Engineer to own the prompts, agents, evals, and pipelines behind user-facing features that ship to users.

 

You'll take product requirements and turn them into working prompts, agents, and pipelines. You'll evaluate them rigorously, iterate until they're production-ready, and keep improving them once they ship. This role sits at the intersection of product and platform: you decide what the AI should do, prove it works, and get it in front of users.

 

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Job Overview
Posted Aug 26, 2026
Employment Full-time
Experience Entry level
Location United States
Category Programming
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