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Founding AI/ML Engineer (Remote)

PulseRise Technologies

  • Washington, New York
  • 27 days ago
  • Remote

    Highlights

    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. 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 .

    Numbers & Facts

    LocationWashington, New York (
    Remote
    )

    Description

    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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