TRACE Inc.
Context-aware orchestration between humans and AI.
Company facts
- Founded
- 2025
- Employees
- 3
- Headquarters
- United Kingdom
About
Trace is a workflow orchestration platform that gives agents shared context across systems and lets teams build visual processes combining AI and humans. It automatically identifies which tasks can be AI-automated and which need human input, so non-technical teams build and run workflows without engineering involvement.
Open positions
Machine Learning Engineer, Applied
Trace Labs builds data infrastructure for physical AI/robotics and needs an ML engineer to own models end to end: building training pipelines for multimodal data (video, sensor streams, language), evaluating, and shipping models into its annotation pipeline. Core stack is Python with a modern deep learning framework like PyTorch or JAX.
Full-Stack Engineer: AI-Powered Freight, Own Key Features
Ideally three days a week in the office, but we’re flexible. About Trace Trace is building AI-native freight software for shippers, brokers, and carriers. We bring the work of running freight, from quoting and booking…
Full-Stack Engineer: AI-Powered Freight, Own Key Features
Full-stack engineer at Trace building AI-native freight software that unifies quoting, booking, tracking, and invoicing for shippers, brokers, and carriers, with AI agents embedded in the workflows. You'd work directly with the founding engineer and CTO, using Claude Code and Codex as central development tools.
Senior Full-Stack Engineer - AI-Driven Climate Tech
Full-stack engineer at Trace, an Australian climate-tech company, building the platform that helps businesses produce audit-ready climate disclosures. The role owns end-to-end features in the Compliance Hub, guides AI agent workflows, and ships on .NET 9 (AWS Lambda), Angular, Postgres, and Terraform.
Software Engineer, Computer Vision
Senior computer vision engineer at Trace, an early-stage startup building training-data infrastructure for physical AI/robotics. Day to day you own the spatial perception layer of their data pipeline: camera/multi-sensor calibration, SLAM/VIO localization and mapping, pose estimation, and benchmarking to turn real-world sensor captures into reliable robotics training data.
Software Engineer, Full Stack
Trace, an early-stage startup building a data marketplace for physical AI (real-world robotics training data), is hiring a generalist full-stack engineer to own systems end to end — backend services, data pipelines, internal tools, and product surfaces. Core stack: Python, TypeScript/React, PostgreSQL, C# (Unity), and AWS via Terraform.