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Senior AI Engineer
Sênior AI Engineer
Raylu AI is seeking a product-oriented Senior AI Engineer to work with LLMs and develop agent systems. This role focuses on orchestration, evaluation, and reliability to ensure agents perform effectively, with responsibilities including building agent workflows, creating safety controls, and partnering with product teams to innovate new interaction patterns.
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
- 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
Skills
LlmsOrchestrationEvaluationreliabilityFunction/tool callingmulti step planningRoutingmemoryretrievalApisMonitoringworkflow enginesTemporalFull Stack Engineering