AI Engineer

Drive the design, build, deployment, and continuous improvement of agentic AI applications for real estate and construction. You'll own end-to-end agent frameworks, architecting tool chains, crafting prompts, integrating data, and running observability and feedback loops to deliver production-grade AI agents.

Requirements

• 4-7 years in data science (ML engineering/computer vision) or software engineering, with over 12 months of LLM production experience
• Hands-on with agentic AI frameworks; strong preference for LangGraph
• Expert prompt engineering skills in complex, domain-specific contexts
• Proven track record deploying models in secure cloud environments. Working experience in the Azure ecosystem is essential.
• Experience with containerization (Docker, Kubernetes) and serverless compute
• Familiarity with observability & eval platforms (Langfuse/LangSmith)
• Ability to translate nuanced business logic into detailed agent workflows and prompts.
• Strong coding skills in Python, plus experience with REST/gRPC API integrations

Benefits

• Fast-growing, revenue-generating proptech startup
• Steep learning opportunities in real world enterprise production use-cases
• Remote work with quarterly meet-ups
• Multi-market, multi-cultural client exposure
• No BS, get-stuff-done culture. Best practical solution wins.