Staff Backend Engineer, AI Platform - 100% Remote - EMEA
Hostaway
About the role
Overview
In this Staff Engineer role, you own the architecture and technical direction of Hostaway’s AI Platform. You will lead the design and implementation of a multi-agent system that powers AI features across the product, ensuring reliability, observability, and scale. You’ll collaborate with product, design, and engineering teams to drive cross-team adoption and deliver AI‑powered experiences for 50,000+ property managers and their guests. This is a high‑autonomy, high‑impact position at a fast‑growing, valuation‑rich company. You’ll shape core infrastructure, mentor engineers, and set global standards for AI capability delivery.
Responsibilities
- Own the AI Platform architecture and technical vision for the multi-agent system (agent delegator, sub‑agents, config service, LLM gateway, evaluation framework, conversation history, observability)
- Build production‑grade AI infrastructure and core services for reliable, versioned, observable AI features
- Define evaluation, quality gates, prompt comparison workflows, hallucination detection, and CI/CD integration for trustworthy features
- Shape LLM gateway strategy including provider failover, model routing, cost tracking, and rate limiting
- Drive cross‑team adoption by publishing internal blueprints and integration patterns for specialized agents
- Influence engineering‑wide practices related to prompt engineering, tooling, observability, and agent testing
- Mentor engineers through code reviews, architectural guidance, and hands‑on pairing
Requirements
- 8+ years of software engineering experience, with at least 2 years at Staff level
- Deep Python expertise and production‑grade Python services
- Production experience with LLM‑based systems and operational realities (prompt/versioning, evaluation, cost management, observability, failure modes)
- Familiarity with modern AI tooling (PydanticAI, LangChain, LangGraph, LiteLLM, Langfuse, Phoenix, MLflow) or comparable tools
- Multi‑agent architecture experience is a strong plus
- Comfort operating across a polyglot stack (Python, Go, PHP, React)
- Infrastructure fluency (AWS, Kubernetes, CI/CD)
- Cross‑team influence and ability to drive platform adoption
Tasks (Aufgaben)
- 8+ years of software engineering experience
- Deep Python expertise
- Production experience with LLM‑based systems
- Strong architectural instincts
- Familiarity with AI tooling ecosystems (e.g., LangChain, Langfuse, MLflow)
- Experience with multi‑agent architectures is a plus
- Infrastructure fluency (AWS, Kubernetes, CI/CD)
- Cross‑team influence and ability to drive platform adoption
Benefits & Central Requirements (Zentrale Anforderungen)
- 100% Remote
- Equity
- Professional Growth
- Annual Paid Leave
- Geographic Specific Benefits
- Dynamic Team Culture
Requirements
- 8+ years of software engineering experience
- Deep Python expertise
- Production experience with LLM-based systems
- Strong architectural instincts
- Familiarity with AI tooling ecosystems (e.g., LangChain, Langfuse, MLflow)
- Infrastructure fluency (AWS, Kubernetes, CI/CD)
- Cross-team influence and ability to drive platform adoption
Responsibilities
- Own the AI Platform architecture and technical vision for the multi-agent system (agent delegator, sub-agents, config service, LLM gateway, evaluation framework, conversation history, observability)
- Build production-grade AI infrastructure and core services for reliable, versioned, observable AI features
- Define evaluation, quality gates, prompt comparison workflows, hallucination detection, and CI/CD integration for trustworthy features
- Shape LLM gateway strategy including provider failover, model routing, cost tracking, and rate limiting
- Drive cross-team adoption by publishing internal blueprints and integration patterns for specialized agents
- Influence engineering-wide practices related to prompt engineering, tooling, observability, and agent testing
- Mentor engineers through code reviews, architectural guidance, and hands-on pairing
Benefits
Skills
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