Raylu Ai
Senior AI Engineer
4mo ago
165000 –230000 USD / yearUSASeniorllmapia/b testingmonitoringdebuggingworkflow engines
Senior AI Engineer focused on building and productionizing agent workflows and LLM-powered systems with emphasis on product impact and engineering quality.
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 - $230K salary, competitive 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
- Unlimited PTO
Other
- 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.
- 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.