Source description
About the role
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
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Agentic systems: Function/tool calling, multi-step planning, routing, memory, and retrieval.
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Engineering first: You can wire up services, craft eval harnesses, and debug latency/cost at scale.
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LLM breadth: Comfortable comparing models/hosts, prompt strategies, and guardrail techniques.
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Product focus: You instrument outcomes, run A/Bs, and iterate to improve task success rates.
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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
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Design, build, and productionize agent workflows end-to-end (APIs, tools, evals, monitoring).
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Create safety, cost, and latency controls; build dashboards and alerts for reliability.
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Partner with product/design to invent new interaction patterns and ship them fast.
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Document patterns and mentor engineers on best practices for LLM-powered features.
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Nice to have
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Experience with workflow engines (e.g., Temporal), comfort in full stack engineering
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Logistics:
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Compensation: $190K - $250K salary, competitive equity (4 year vest)
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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.
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Benefits:
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Generous health, dental, and vision insurance
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401k with 3% automatic contribution (no vesting)
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Paid Lunches
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Wellness and Citi Bike benefit
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Unlimited PTO
More at Raylu
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