Founding AI/ML Engineer (Remote) at PulseRise Technologies

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Sep, 26

Salary

0.0

Posted On

04 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

AI/ML Engineering, Multimodal Intelligence, Agentic Workflows, LLM, Computer Vision, Retrieval Systems, Backend Engineering, API Development, Cloud Deployment, Document Understanding, Python, System Architecture, Model Optimization, OCR, State Management, Async Queues

Industry

Information Services

Description

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

Responsibilities

Architect and ship production-grade AI systems and agentic workflows to automate core operational tasks in the construction industry. Own the end-to-end lifecycle from experimentation and deployment to monitoring and optimization of multimodal AI pipelines.