AI Engineer

AvantStay; Brasil; Presencial; BRL 302 571 - 453 857; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity

Generous paid time off including holidays

100% remote – work from anywhere in the world

Complimentary and discounted stays at properties

Periodic team gatherings

Budget for Greenfield AI Tooling

Resumo da oferta

A technology-driven vacation rental company seeks an experienced engineer to build and integrate LLM systems into its existing infrastructure. The ideal candidate should have strong software engineering skills and experience with cloud technologies. This role involves direct collaboration with stakeholders and cross-functional teams. The position offers 100% remote work, generous paid time off, and perks like equity and discounted stays at properties.

Qualificações

• Experience shipping LLM-powered systems used by real users.
• Strong understanding of databases and cloud technologies.
• Product instincts to collaborate with stakeholders.

Responsabilidades

• Ship LLM systems integrating with the existing infrastructure.
• Maintain uptime and accuracy of autonomous systems.
• Collaborate with cross-functional teams to design solutions.

Conhecimentos

TypeScript

Software engineering fundamentals

LLM-powered systems

Kafka

GraphQL/REST

Kubernetes

AWS

Fluency in English

Ferramentas

Scala

Python

PostgreSQL

ClickHouse

Descrição da oferta de emprego

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