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Founding AI/ML Engineer (Remote)

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Job Description - Founding AI/ML Engineer (Remote)


Dear applicants, please note that applications without salary expectations and an active LinkedIn profile will not be considered.


We are hiring a Founding AI/ML Engineer to architect and ship production-grade AI systems transforming one of the world’s largest and least automated industries — construction. This is a product-first AI engineering role focused on multimodal intelligence, document understanding, and agentic workflow automation. You will work directly with the Chief AI Officer and founders to move from low-automation to high-automation mode, where AI agents perform core operational work with light human oversight.

Details
Location: Philadelphia, PA · New York City, NY · Washington, D.C.
Work Model: Hybrid / Remote-first with optional Philly hub
Employment Type: Full-Time
Experience Level: 6+ years
Equity: Competitive early-employee equity
Visa Sponsorship: H-1B available

Key Responsibilities
Build and ship production-grade AI systems used daily by real customers
Design multimodal pipelines for drawings, specs, and construction documents
Build agentic workflows automating preconstruction tasks:
  • Document intake
  • Extraction
  • Takeoff support
  • Bid preparation
  • QA workflows
Build and improve:
  • Retrieval systems (embeddings, reranking, chunking)
  • Evaluation systems
  • Orchestration layers
Optimize model quality, latency, reliability, and cost efficiency
Prototype and iterate quickly on customer-facing AI features
Own systems end-to-end (experiment → deploy → monitor → improve)
Help shape engineering culture and long-term technical direction

Requirements
6+ years of engineering experience
Experience at an early-stage, high-growth startup
Shipped production-grade AI systems to real customers
Hands-on LLM and/or computer vision experience
Retrieval systems experience (embeddings, chunking, grounding)
Agentic workflow experience (tools, APIs, state management, retries, guardrails)
Strong backend fundamentals:
  • APIs
  • Async jobs / queues
  • Databases
  • Cloud deployment
  • Monitoring
  • Full end-to-end ownership mindset

Nice to Have
Construction / AEC exposure
Multimodal AI or document intelligence background
OCR / segmentation / computer vision experience
Experience converting human-operated workflows into AI product systems
Inference optimization or evaluation system expertise

Benefits
Meaningful early-employee ESOP grant
Employer-funded health insurance (Patch model)
Team / meal stipend
Growth path to technical leadership (optional management track)

Interview Process
Initial Screen (30 min)
Culture & Team Round
~2-hour Technical / Architecture Deep Dive
Optional On-Site (Philadelphia)
Offer



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