The Role
Design and build AI agent workflows, focusing on orchestration, reliability, and product metrics. Collaborate with product/design to innovate and improve LLM-powered features.
Summary Generated by Built In
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
Skills Required
- Experience with agentic systems, engineering focus, and LLMs
- Proficiency in building and productionizing workflows
- Ability to create safety, cost, and latency controls
- Experience documenting workflows and mentoring engineers
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The Company
What We Do
Raylu is the AI platform for private market investors, delivering bespoke financial AI that transforms diligence, deal sourcing, and decision-making. Our platform integrates seamlessly with your systems, analyzes complex data, and enhances your team’s expertise—so you can focus only on the opportunities that matter. Trusted by leading financial institutions, Raylu delivers actionable insights faster and more accurately, empowering funds to outperform the competition. More Companies. Smarter Diligence. Bigger Wins. Visit us at raylu.ai to learn more.
