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.
Responsibilities
Design, build, and productionize agent workflows end-to-end (APIs, tools, evals, monitoring).
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.
Benefits:
Generous health, dental, and vision insurance
401k with 3% automatic contribution (no vesting)
Paid Lunches
Wellness and Citi Bike benefit
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