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Skills
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Best Practicesunmatched
Cost Controlunmatched
Debugging Skillsunmatched
Divingunmatched
Memory Hardwareunmatched
Mentoringunmatched
Product Designunmatched
Reporting Dashboardsunmatched
Transportation Routingunmatched
Work From Homeunmatched
Description
Position Summary
We’re hiring a product-oriented Senior AI Engineer who loves tinkering with LLMs and shipping real agent systems. We spend less time on fine-tuning and more on orchestration, evaluation, and reliability—so agents do real work safely, quickly, and repeatedly.
What we’re looking for
Agentic systems: Function/tool calling, multi-step planning, routing, memory, and retrieval.
Engineering first: You can wire up services, craft eval harnesses, and debug latency/cost at scale.
LLM breadth: Comfortable comparing models/hosts, prompt strategies, and guardrail techniques.
Product focus: You instrument outcomes, run A/Bs, and iterate to improve task success rates.
Opinionated: Deep level of understanding of the technological landscape, making both high level system and granular code design decisions based on understanding rather than preference - diving deep on unknown patterns in order to build the best product.
Create safety, cost, and latency controls; build dashboards and alerts for reliability.
Partner with product/design to invent new interaction patterns and ship them fast.
Document patterns and mentor engineers on best practices for LLM-powered features.
Nice to have
Experience with workflow engines (e.g., Temporal), comfort in full stack engineering
Logistics:
Compensation: $165K - $250K salary, $100K-200K equivalent in new hire equity (4 year vest)
Location: New York City. We are a fully in-office team working out of Midtown Manhattan Monday through Friday. We allow for WFH days when anyone is traveling, but we do not allow for permanent remote work.