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Build Technologies

AI Engineer - Workflows

New York City$120k–$240kfulltimemidAdded today

About this role

Build is seeking an AI Engineer to own the modular operations powering its agentic AI workflows for real estate. You'll build and refine critical capabilities, establish evaluation frameworks, and ensure production-grade quality that senior institutional clients can rely on without question.

What you'll do

  • Design and build modular operations that compose Build's core workflows
  • Conduct failure analysis and fix underlying capability gaps to meet quality standards
  • Develop evaluation harnesses and metrics to validate improvements
  • Collaborate with domain experts to define and encode correctness criteria
  • Optimize workflows to reduce required human review while maintaining quality
  • Maintain composability and scalability of the capability library

What they're looking for

  • AI/ML systems design and implementation
  • Prompt engineering and LLM optimization
  • Evaluation framework development
  • Python or similar backend languages
  • Workflow and agentic AI architecture
  • Data analysis and quality metrics
  • Problem-solving and root cause analysis
  • Cross-functional collaboration

Benefits

  • Meaningful, generous equity with real ownership
  • High autonomy in problem-solving and execution
  • Rapid learning in agentic AI and vertical AI startups
  • Work with Tier 1 institutional clients and domain experts
  • Fast-paced, high-impact environment
  • Founders-track career acceleration
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Build Technologies

Build Technologies develops core infrastructure and agentic AI systems designed for real estate and built-world enterprises operating in production environments. The company is hiring AI engineers to build agent runtimes, evaluation systems, retrieval layers, and observability platforms that power reliable, scalable AI workflows.

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Likely interview questions

  • Describe a time you built an evaluation framework from scratch—what were the key metrics and how did you validate them?
  • How would you approach identifying and debugging why an AI workflow is producing incorrect outputs for a senior executive relying on it?