Founding AI/ML Engineer (Remote)

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., 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

Artificial Intelligence (AI), Automation, Artificial Intelligence (AI) Agents, Artificial Intelligence (AI), Proposal Writing, Quality Assurance, Shallow Parsing, Prototyping, Customer Relations, Computer Vision, 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

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