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PulseRise Technologies

Founding AI/ML Engineer

PulseRise Technologies

Founding AI/ML Engineer building production-grade AI systems transforming construction. Collaborate with founders to enhance automation through multimodal intelligence and workflow automation.

Posted 6/4/2026full-timePhiladelphia • District of Columbia, New York, Pennsylvania • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI systemsmultimodal pipelinesretrieval systemsembeddingschunkingAPIsdatabasescloud deploymentinference optimizationevaluation systems
Soft Skills
end-to-end ownership mindsetengineering culture shapingiterationprototypingcustomer-facing features