AI Engineer

AvantStay; United States; On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

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

Job summary

A technology company in vacation rentals is seeking a passionate LLM Engineer to develop systems integrated with their infrastructure. You will collaborate with a strong team on AI and remote systems. Responsibilities include shipping LLM systems, maintaining accuracy, and working with stakeholders on practical solutions. Ideal candidates have strong software engineering skills, experience with LLMs, and are proficient in TypeScript. Join a flat organization with generous benefits including equity and remote work options.

Qualifications

• Shipped at least one LLM-powered system used by real users.
• Strong knowledge in observability of agent traces.
• Capable of discussing evals and retrieval shape.

Responsibilities

• Ship LLM systems that integrate with infrastructure.
• Maintain uptime and accuracy of human-in-the-loop systems.
• Collaborate with a cross-functional team to create solutions.

Skills

Strong software engineering fundamentals

Proficient in TypeScript

Database experience

Kafka experience

GraphQL/REST knowledge

AWS experience

Product instincts

Fluent in English

Tools

PostgreSQL

ClickHouse

Kafka

Kubernetes

AWS

Python

Scala

Job description

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