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Senior AI Engineer — Teylo (AI-first Real Estate OS) | Australia (Remote)

Teylo
Department:Product Design
Type:REMOTE
Region:Australia
Location:Australia
Experience:Mid-Senior level
Estimated Salary:A$120,000 - A$180,000
Skills:
LLMRAGVECTOR SEARCHTYPESCRIPTNODEPYTHONGOJAVAKOTLINAPI DESIGNDISTRIBUTED SYSTEMSOBSERVABILITYTESTINGPERFORMANCEGOOGLE CLOUD RUNDOCUMENT AIOCREXTRACTIONCLASSIFICATIONCONTRACT REVIEW
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Job Description

Posted on: February 19, 2026

Teylo is building the AI operating system for real estate — connecting buyers, homeowners, and agents in one platform. We’re looking for a Senior AI Engineer to lead the design and delivery of AI systems that power natural-language property search, agent copilot/autopilot workflows, and contract intelligence.

What you’ll do

  • Build and ship LLM-powered features end-to-end: prompt design, tool/function calling, structured outputs (JSON), evaluation, monitoring, and iteration.
  • Own the AI architecture: model routing, retrieval (RAG), embeddings, caching, rate limits, fallbacks, and cost/latency optimization.
  • Design agent workflows for real estate: inquiry triage, buyer intent scoring, inspection scheduling assistance, follow-ups, listing content generation, and internal ops automations.
  • Implement data pipelines for training/evaluation: labeling strategy, offline/online metrics, A/B testing, and automated regression suites.
  • Build safe, reliable systems: guardrails, PII handling, compliance-first design, and robust failure modes.
  • Collaborate closely with product, frontend, and backend engineers to deliver polished user experiences.

What we’re looking for

  • 5+ years in software engineering with deep experience shipping ML/AI products to production.
  • Strong LLM experience: prompting, tool use, structured generation, RAG, and evaluation frameworks.
  • Solid backend skills (TypeScript/Node, Python, Go, Java/Kotlin — any is fine) and API design.
  • Experience with vector search (e.g., Elasticsearch/OpenSearch/vector DBs), ranking, retrieval, or search relevance is a big plus.
  • Strong fundamentals: distributed systems, observability, testing, and performance.
  • Comfortable moving fast in an early-stage environment: ownership, autonomy, high standards.

Bonus points

  • Real estate / PropTech domain experience.
  • Experience deploying on Google Cloud Run (or similar) with production-grade monitoring.
  • Experience with document AI: OCR, extraction, classification, contract review workflows.
  • Experience building multi-tenant B2B SaaS AI features and admin tooling.

Why Teylo

  • Build “AI-first” from day one — not bolting AI onto legacy systems.
  • Work on problems with real-world impact: helping agents and homeowners save hours daily.
  • High ownership, high trust, and the opportunity to shape core product architecture.

How to apply

Send a message with:

  • LinkedIn profile / CV
  • A short note on 1–2 AI systems you’ve shipped (what you built, scale, metrics)
  • Optional: GitHub, papers, demos, or a portfolio
Originally posted on LinkedIn

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