AI Engineer - Assistant Capabilities

Added
6 minutes ago
Type
Full time
Salary
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Related skills

documentation ai rag agent frameworks tool calling

📋 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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