Descripción de la oferta
At AvantStay we run the technology platform behind 2,700+ vacation rentals across 60+ destinations. We've raised $200M+ of capital, do $250M+ in ARR, and have ~30 engineers building custom systems that price, list, market, and operate the entire portfolio. Recently we shipped multiple production AI agents, including a lead‑qualification agent, on‑demand BI reporting agent, CX agent and infrastructure monitoring agent that triages on‑call alerts. We also are building an internal system to enable agentic evolution of our core products.Our stack is Scala and TypeScript across the backend, PostgreSQL, ClickHouse, Kafka, Kubernetes on AWS. For AI we use Claude, OpenAI, LangGraph, Openclaw and MCP servers we built ourselves.The role
You will be a strong individual contributor comfortable working directly with stakeholders. You will be reporting to senior engineering leaders, working alongside ~30 people across backend, frontend, data, and DevSecOps. The team is fully remote, flat, and talent‑dense. You won't be starting from scratch – you'll join a strong team with years of experience and strong understanding of our systems.What you'll doShip LLM systems that tightly integrate with our infrastructure and knowledge bases: PostgreSQL, ClickHouse, Kafka, APIs, MCPs.Maintain autonomous and human‑in‑the‑loop systems and ensure uptime and accuracy.Interact with users and stakeholders to understand their problems and design solutions.Stay up‑to‑date with the latest trends in LLMs and applied AI practices.Collaborate with a cross‑functional team of engineers, product managers, designers, and other members to create a product that solves actual problems.Update existing systems to be agent‑accessible. Some % of the work is refactoring APIs that were never meant to be called by an LLM – be ready for that.Build the patterns and tooling that let the rest of engineering deploy agents faster.What you've done beforeShipped at least one LLM‑powered system used by real users (internal or external) that took actions in a real system.Can talk specifically about evals, retrieval shape, observability of agent traces, and handling non‑determinism in a system business operators depend on.Strong software engineering fundamentals – databases, Kafka, GraphQL/REST, Kubernetes, AWS.Proficient in TypeScript. Scala (functional, Typelevel) and Python are a plus, but deep Scala expertise is not required.Product instincts. You can sit with a stakeholder for an hour and walk out with a concrete idea of what to build.Fluent in English.Nice to haveOSS contributions to the AI ecosystem. Examples: LangGraph, PydanticAI, DSPy, instructor, or similar.Functional programming background. Preference to use functional paradigm.High‑throughput data systems experience (Kafka, ClickHouse, Postgres at scale).Perks and BenefitsEquityGenerous paid time off including holidays100% remote – work from anywhere in the worldComplimentary and discounted stays at AvantStay propertiesPeriodic team gatheringsBudget for Greenfield AI Tooling#J-18808-Ljbffr
