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Roles
Compensation
Competitive compensation; fully remote.
- Salary period
- unclear
Benefits
- Fully remote
- Competitive compensation
Tech stack
Required
Nice to have
Location
Remote
Work setup
- Employment
- full-time
- Level
- Senior
- Remote policy
- Fully remote; remote timezone: UTC -3 to +3.
- Remote scope
- worldwide
- Timezones
- UTC -3 to +3
Role details
Responsibilities
- Own a client-facing use case end to end
- Build backend tools and workflows that agents call
- Handle jurisdiction and client specific extensions
- Talk to the client directly
- Pull requirements and explain tradeoffs
- Own the client relationship
- Turn messy real-world problems into something agents can use
- Keep the solution alive in production
Requirements
- Shipped serious backend systems in production
- Can hold your own on a customer call
- Have run LLM agents in production, or will ramp fast
- Tool calling experience
- Experience with evals
- Know when a deterministic tool beats a model call
Application
Email mercedes@kinxshn.com with "HN - Forward Deployed Engineer" in the subject, attach your CV, and include your salary expectation.
- Email subject
- HN - Forward Deployed Engineer
- Portfolio
- not required
- GitHub
- not required
- Cover letter
- not required
- Apply flow
Company context
- Product
- AI agents that run real operations for property management clients
- Industry
- Property management (AI agents)
- Stage
- stealth
- Funding
- Funded, profitable
Contact
mercedes
mercedes@kinxshn.com
Description
Small stealth team in the property management space, building AI agents that run real operations. Agents and humans work as one team. 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 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; can hold your own on a customer call; and you’ve run LLM agents in production or will 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—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, attach your CV, and include your salary expectation.
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