Applied AI Engineer

Applied AI Engineer — Agentic Systems (Travel Platform)We are building a deeply personal, AI-native travel companion designed to become the trusted travel agent for life. Travel is one of the most meaningful parts of people’s lives — yet today’s tools are fragmented, transactional, and lack continuity or understanding.We are building something new: an intelligent, agentic system that understands users over time, applies judgment, and handles complex multi-step travel planning and booking on their behalf. The product is AI-native from the ground up, where agent behavior, reasoning, memory, and trust are core system components.We are seeking an Applied AI Engineer to build and productionize the intelligent systems powering this agentic experience. This role focuses on translating cutting-edge ML and LLM research into reliable, scalable, user-facing systems.What You’ll DoBuild the Core Agentic AI LayerDevelop and evolve the agentic reasoning and orchestration layer powering travel planning and bookingDesign multi-step, stateful workflows for complex decision-making and executionImplement tool-calling architectures with robust guardrails and safety constraintsDesign Prompting, Memory, and Context SystemsBuild prompting and orchestration strategies for reliable agent behaviorDesign consent-aware long-term memory systems for personalization over timeDevelop persona extraction and structured user context modeling systemsMaintain persistent, evolving representations of user preferences and intentBuild Production AI SystemsImplement autonomous booking optimization logic and decision systemsBuild real-time monitoring and intervention systems for agent behaviorEnsure reliability, safety, cost-efficiency, and determinism in production environmentsEvaluation and Quality SystemsDesign and implement evaluation frameworks for agent performanceMeasure model quality across dimensions such as:Accuracy and reliabilityCost and latencySafety and complianceDeterminism and consistencyBuild systems for model selection, benchmarking, and continuous evaluationTranslate Research Into ProductionTake state-of-the-art LLM and agent research and turn it into robust production systemsGo beyond simple LLM wrappers to build deeply integrated AI-native systemsCollaborate closely with infrastructure and product teams to ship end-to-end featuresWhat We’re Looking For5+ years of experience working with large-scale deep learning or LLM systemsExperience shipping production AI systems to real users at scaleStrong ability to translate research ideas into robust, reliable engineering systemsExperience building agentic workflows beyond basic LLM integrationStrong understanding of evaluation, benchmarking, and system quality measurementAbility to reason about safety, reliability, and controllability in AI systemsPreferred ExperienceExperience working with frontier LLMs (commercial or open-weight models)Familiarity with cloud and serverless infrastructure (AWS, Vercel, etc.)Experience with workflow orchestration systems (e.g., Temporal or similar)Experience with LLM observability and evaluation tools (e.g., LangSmith, Braintrust, or similar)Work on persistent memory systems and structured user representationsExperience with relational and vector databases for AI state managementFamiliarity with streaming AI runtimes and tool execution frameworksWhy This Role MattersBuild the core intelligence layer of a next-generation AI-native travel agentDefine how autonomous systems reason, plan, and act on behalf of usersWork at the intersection of LLM research, systems engineering, and product impactShape foundational patterns for safe, reliable agentic AI systems in consumer applicationsAbout the CompanyWe are a small, high-ownership team building an AI-native travel platform from first principles. We operate at the frontier of applied AI systems, focusing on reliability, evaluation, and real-world agent behavior.We are committed to building an inclusive workplace and encourage applicants from all backgrounds to apply.