AI Engineer

AvantStay; México; Presencial; MXN 1.040.221 - 1.733.703; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Generous paid time off including holidays

100% remote – work from anywhere

Complimentary and discounted stays at properties

Periodic team gatherings

Budget for Greenfield AI Tooling

Descripción de la vacante

A leading vacation rental platform is looking for an experienced individual to develop and integrate LLM systems with existing infrastructure. The role involves collaboration with cross-functional teams and requires a strong software engineering background. Ideal candidates will have experience shipping LLM-powered systems, proficiency in TypeScript, and knowledge of databases and Kafka. The company offers a fully remote work environment and significant perks like equity and generous paid time off.

Formación

• Shipped LLM-powered systems for real users.
• Can discuss evals, observability, and handling non-determinism.
• Experience in functional programming preferred.

Responsabilidades

• Ship LLM systems integrating with infrastructure and knowledge bases.
• Ensure uptime and accuracy of systems.
• Collaborate with cross-functional teams to create practical solutions.
• Refactor APIs for agent accessibility.

Conocimientos

Strong software engineering fundamentals

Proficient in TypeScript

Knowledge of databases

Experience with Kafka

Understanding of GraphQL/REST

Familiarity with Kubernetes

AWS experience

Fluent in English

Herramientas

PostgreSQL

ClickHouse

AI frameworks (Claude, OpenAI)

Descripción del empleo

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 do

• Ship 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 before

• Shipped 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 have

• OSS 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 Benefits

• Equity
• Generous paid time off including holidays
• 100% remote – work from anywhere in the world
• Complimentary and discounted stays at AvantStay properties
• Periodic team gatherings
• Budget for Greenfield AI Tooling