Remotely
documentationairagllm apisagent frameworkstool callingworkflow systemsstructured outputs
Job Description
📋 Description
- Design and ship production AI workflows for real estate design, acquisitions, diligence, planning
- Work directly with customers and internal experts to map complex workflows into software systems
- Build agents that reason across leases, zoning documents, site plans, drawings, financial models
- Own full-stack product features end to end, from backend workflow logic to user-facing review
- Design context strategies that help agents use the right documents, prior decisions, domain
- Build retrieval, extraction, structured-output, and tool-calling flows that are robust enough for
🎯 Requirements
- Strong product-minded software engineer who has shipped production systems used by real users.
- Experience building with LLM APIs, agent frameworks, structured outputs, tool calling, RAG
- Comfortable with Python and modern backend systems, and can move across the stack when needed.
- Ability to take a vague customer problem, ask the right questions, identify the workflow, and turn
- Cares about agent quality beyond prompts: evals, traces, regressions, edge cases, latency, cost
- Likes working with domain experts and learning the details of complex industries.
🎁 Benefits
- Real ownership: Own meaningful customer and product problems end to end.
- A steep learning curve: Build at the frontier of agentic AI, product engineering, and institutional
- Exceptional teammates: Work with people who think clearly, execute with intensity, and care deeply
- Meaningful equity: Ownership in the work is matched with ownership in the company.
- A chance to shape the physical world: Software helps accelerate real projects: infrastructure
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