Engineering Technical Lead - AI Products

Company Description

S2 Labs builds physics-informed AI solutions for industries where conventional machine learning fails construction, energy, infrastructure, and manufacturing. We apply cutting-edge Scientific Machine Learning to real-world engineering problems, delivering numerical precision and physical consistency at production scale.

Role Description

Were looking for an Engineering Lead AI Products to own the technical backbone of our AI-driven engineering product suite spanning intelligent automation for complex mechanical, electrical, and plumbing systems, AI-assisted decision-making for infrastructure planning and client workflows, and subsurface utility detection and 3D reconstruction using electromagnetic sensing and deep learning.

• Own cloud-native architecture across our product lines, covering inference serving and model-building workflows
• Define infrastructure standards for scalability, reliability, and cost efficiency on AWS/GCP/Azure
• Establish ML model deployment pipelines from training environments to production inference endpoints with versioning, monitoring, and rollback
• Lead integration design across AI backends, data pipelines, APIs, and customer-facing application layers
• Manage and mentor a cross-functional team of full-stack developers, UX/UI designers, and product managers

• Drive sprint planning, technical roadmaps, and delivery accountability across product squads
• Set engineering standards: code review, documentation, testing, and deployment processes
• Translate complex client requirements into clear, buildable technical specifications
• Participate in client-facing technical conversations where architecture depth is required

Qualifications

Required

• 8+ years of software engineering experience, with at least 3 years in an engineering or technical lead role
• Proven experience designing and deploying cloud-native applications on AWS, GCP, or Azure including Docker/Kubernetes, serverless, and managed AI/ML services
• Strong background in building and shipping AI/ML-powered applications, including inference serving infrastructure (REST APIs, async workers, model registries)

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• Hands-on full-stack experience across frontend (React or similar), backend (Python, Node, or similar), and data layers
• Hands-on experience with workflow orchestration frameworks such as Temporal or Airflow managing long-running, distributed, multi-step pipelines at scale
• Experience managing cross-functional technical teams with a structured, low-overhead leadership style
• Strong communication skills clear architecture docs, RFCs, and ability to explain tradeoffs to non-engineers

Preferred

• Experience in GIS, geospatial software, subsurface imaging, or large-scale industrial AI
• Familiarity with scientific computing workflows point cloud data, mesh data, or geospatial pipelines
• Experience with document understanding pipelines (PDF/CAD/BIM parsing, OCR, layout analysis)
• Experience working with founders or in early-stage product companies where scope moves fast