Senior Backend Engineer
Build backend tools and workflows for AI agents in property management
Own a client-facing use case end to end by building backend tools and workflows that AI agents call in production. Handle jurisdiction and client-specific extensions while communicating directly with clients to pull requirements and explain tradeoffs. Take messy real-world problems and turn them into usable agent tools, then maintain them in live systems.
Why This Role?
Direct client interaction and ownership of real-world AI agent use cases
Key Responsibilities
- Build backend tools and workflows that AI agents call in production
- Handle jurisdiction and client-specific extensions for property management use cases
- Communicate directly with clients to gather requirements and explain technical tradeoffs
- Turn messy real-world problems into functional agent-usable tools
- Maintain and keep agent tools alive in production environments
Requirements
- Experience shipping serious backend systems in production
- Ability to hold your own on customer calls
- Experience running LLM agents in production or ability to ramp quickly on tool calling and evaluations
- Knowledge of when deterministic tools are preferable to model calls
Required Skills
Indonesia Context
- Working Hours Overlap:
- Minimal overlap — opposite hours
Keywords
View Original Description from HN Who is Hiring
Original description from HN Who is Hiring
Forward Deployed Engineer - backend - python | REMOTE (UTC -3 to +3) | Full time Small stealth team in the property management space, building AI agents that run real operations, where agents and humans work as one team rather than as user and tool. Funded, profitable, fully remote, competitive comp. We want a senior backend engineer to own a client facing use case end to end: build the backend tools and workflows our agents call, handle the jurisdiction and client specific extensions, and talk to the client directly. Pull requirements, explain the tradeoffs, own the relationship. Take messy real world problems, turn them into something agents can actually use, then keep it alive in production. You're probably a fit if: - you've shipped serious backend systems in production - you can hold your own on a customer call - you've run LLM agents in production, or you'll ramp fast: tool calling, evals, knowing when a plain deterministic tool beats a model call Bonus, not required: containers and CI/CD, RBAC and auditing, LangChain and LangGraph, prior customer facing or operator background. We care more about what you've built and can build than a checklist, so skip the skills inventory and tell us about something hard you shipped. Apply: email mercedes@kinxshn.com with "HN - Forward Deployed Engineer" in the subject , your CV attached and salary expectation.