Note: The job is a remote job and is open to candidates in USA. Together for Talent is a company that builds visual operations and maintenance software for complex industrial facilities. They are seeking a Senior Applied AI Engineer to architect and build a new spatial AI engine that identifies and tags physical assets in 3D facility scans, working closely with technology leadership and the existing platform team.
Responsibilities
- Architect and build core components of the spatial AI engine, from ingesting 3D scene data to producing reliable, automatically generated asset tags and relationships that plug into a visual asset management platform
- Design pipelines that transform 3D digital twins into representations suitable for asset detection, spatial reasoning, and downstream AI workflows
- Develop and integrate computer vision models to detect and classify equipment in complex industrial environments, using techniques like object detection, segmentation, and 3D or spatial recognition
- Build LLM and RAG workflows that reconcile detected assets with messy documentation, including drawings, PDFs, legacy asset registers, and tribal knowledge, creating high-confidence matches between the physical world and digital records
- Implement robust backend services and APIs that expose these capabilities to 3D product experiences and visual work order workflows, collaborating with front-end engineers building immersive interfaces
- Define metrics, validation frameworks, and feedback loops so the system can scale from tens of thousands of assets at early customers to millions of assets across broader portfolios
- Work closely with customers and internal stakeholders to understand real-world constraints in power, industrial manufacturing, and other high-stakes environments
Skills
- Built complex production systems end-to-end in a demanding domain such as computer vision, robotics, crypto infrastructure, AR/VR, industrial software, or something similarly technical and unstructured
- Strong hands-on in Python and at least one modern web or backend stack such as TypeScript/Node, Go, or something similar
- Computer vision or image-based machine learning is your primary strength, whether in 2D, 3D, or spatial environments, and you have trained and deployed models for detection, recognition, or scene understanding
- Comfortable jumping into new domains quickly and learning the vocabulary and operating constraints of critical infrastructure
- Like building real systems that are used in production, not just prototypes or research demos
- Energized by ambiguous, greenfield technical problems and enjoy operating in a small, fast-moving team
- Strengths in LLMs, RAG pipelines, spatial computing, digital twins, 3D visualization, or building evaluation and monitoring systems around AI workflows
- Generalist full-stack capability
Company Overview