Own technical execution in the field: deploying, configuring, and supporting our systems during trials, demonstrations, training, and customer activity.\n- Manage the software side of deployments including baselines, versions, configuration control, release notes, validation checks, and rollback and recovery procedures.\n- Diagnose faults across the whole deployed system using structured fault isolation, separating software, hardware, network, comms, power, sensor, configuration, operator, and environmental causes.
UFORCE is a defence-technology company that builds uncrewed vessels, ground robotics and aircraft, autonomy software, and command-and-control systems. Founded in Ukraine and headquartered in London, it operates across Europe, the United States, and Asia.
Deploy Safari AI's computer vision systems at theme parks, stadiums, retail stores and live venues.
Work with edge computers, cameras, networks and servers from site survey to live monitored system.
Take real ownership quickly, growing into senior deployment, solutions engineering, or client success roles.
Safari AI uses computer vision AI to measure, alert, and recommend actions for companies in the physical economy, from entertainment and live venues to retail. The company is an early-stage startup of about 10 people, founded by an experienced entrepreneur, offering a culture of ownership, freedom, and hands-on learning.
Own customer solutions end-to-end: rapidly prototype, iterate, and deploy solutions in live operational environments.
Build trusted relationships from IC level to executive sponsor and become the technical face of the company.
Run multiple customer engagements in parallel, setting expectations and owning outcomes.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. We have grown to over 2000 employees worldwide with a best-in-class HQ in Ottawa and are proud winners of several Top Employer awards.
Provide advanced on-site and remote troubleshooting, maintenance, and repair for autonomous mobile robot systems.
Travel regularly to customer facilities to diagnose issues, perform repairs, and conduct system audits.
Deliver technical training and collaborate with engineering teams to improve system performance and reliability.
They develop and deploy advanced autonomous mobile robot (AMR) systems for industrial customers. They emphasize reliability, customer support, and continuous product improvement through field insights.
Build and ship production-quality software in response to real customer problems, prototyping and hardening in the field.
Spend real time at customer and job sites, working alongside field crews and operations teams.
Own complex integrations with enterprise APIs, utility GIS, and national field-technology platforms.
4M Analytics builds an AI platform that creates a subsurface world model, making utility data accessible to construction and government. They are a Series C company with 120 people across Tel Aviv and Austin, backed by Insight Partners, Viola, and F2.
Build, configure and deploy AI agents for enterprise customers.
Integrate with customer APIs, databases and CRMs.
Tune and troubleshoot agents on live traffic.
A late-stage, venture-backed enterprise AI company deploying AI agents inside large customers' systems. They value ownership, with engineers handling integration to launch with no handoff.
Design, build, and deploy AI-driven systems into production environments at the intersection of frontend, backend, and infrastructure.
Build AI-native interfaces and workflows, integrating LLM-powered systems and agentic architectures.
Own problems end-to-end, from initial requirements to rollout, while working directly with customers.
Trail builds the context layer AI agents run on, providing a governed graph of company rules, exceptions, and institutional knowledge. It's a fast-moving, engineering-driven startup working directly with customers to deploy AI systems into live production.
Lead customer deployments from kickoff through launch, managing delivery and relationships.
Map customer workflows and translate business logic into agent behaviors.
Configure and deploy AI agents across enterprise systems and debug in production.
A company delivering AI and automation solutions directly into customer environments, focusing on production-ready AI agents. The team culture emphasizes hands-on deployment ownership and close collaboration with customer stakeholders.
Build at the customer site: write production-quality agents, integrations, and data pipelines on Redpanda ADP inside the customer’s environment and codebase.
Work in unfamiliar territory fast: ramp quickly in new codebases, data environments, and constraints.
Own the technical deliverable from design to handoff, ensuring it is documented, maintainable, and running in production.
Redpanda is the first runtime and control plane for agent-data interaction, combining streaming, SQL analytics, and intelligent connectivity with governance for enterprise AI agents. It is a fast-moving, diverse, people-first organization with team members around the globe, trusted by Fortune 500 companies and startups.
Build and improve AI agents by writing production code for Voice Agent and Autopilot platforms.
Own enterprise AI deployments from initial discovery through go-live, working directly with customers.
Design and implement AI workflows, debug agents in production, and turn customer needs into reusable product features.
Supermove builds software and AI for moving companies, providing systems for sales, operations, crews, and billing. The company has raised $30M from investors like Andreessen Horowitz and serves moving businesses across the US, Canada, and Australia.
You will develop and maintain a C++17 endpoint sensor across Windows, Linux and macOS, capturing telemetry while keeping system footprint minimal.
You will own engineering features end to end, work directly with customers on technical challenges, and deliver reliable, high-quality solutions.
You will use AI agents and frontier models daily to accelerate development and manage multiple major projects.
Smart Working connects skilled professionals with global teams and products for full-time, long-term remote roles. It is a remote-first company and one of the highest-rated workplaces on Glassdoor, focused on breaking down geographic barriers and supporting personal growth.
Deploy and commission robotic systems at customer sites, including installation and validation.
Perform preventative maintenance and troubleshoot mechanical, electrical, and controls issues.
Work directly with customers to maximize uptime and document field data for reliability improvements.
We build robots that go straight into real factories and warehouses to do real work with real impact. Our team of 160+ is driven by curiosity and a genuine love of building.
Spend ~25% of your time onsite with customers across North America, learning their workflows and constraints.
Own the deployment plan for each customer, setting goals and running the weekly cadence with their leadership.
Build to fill gaps using SQL, Python, or AI coding tools to create reports, dashboards, and lightweight tools.
Realm builds AI for the mining industry, integrating with existing infrastructure to predict equipment failures and optimize safety and productivity. It's a small, senior, fully remote team that ships daily to production mines, with an AI-first culture valuing high agency and autonomy.
Partner with enterprise customers to understand workflows and design AI-driven solutions.
Own projects end-to-end from system design to production deployment.
Build and iterate on AI agents that deliver real business impact.
Wonderful enables enterprises to build, test, deploy, and monitor AI agents for complex needs across voice, chat, email, and back-office systems. They foster an ownership-driven culture where engineers solve high-impact problems alongside enterprise customers.
Install, integrate, and maintain Teleo's remote operation and AI systems on heavy equipment at mining and construction customer sites.
Troubleshoot mechanical, electrical, and connectivity issues, and support new vehicle, control station, and network deployments.
Perform routine maintenance, service visits, and ensure compliance with customer safety protocols while traveling 50%+.
Teleo, a Havoc company, transforms construction heavy equipment into autonomous robots for commercial and defense applications, enabling one operator to supervise multiple machines. Founded by former Lyft and Google Street View leaders and now merged with Havoc AI, the company offers a fast-paced, cross-functional environment working on cutting-edge 100,000-pound autonomous robots.
Own applied RL programs from ambiguous customer problem to deployed improvement loop.
Understand workflows, build environments and evaluations, run post-training experiments, and deploy results.
Work directly with customer researchers, engineers, and leaders, accountable for research result and practical impact.
Prime Intellect builds the open superintelligence stack, providing a full-stack platform for frontier-scale post-training of AI models. The company has raised $150M from top investors and is seeking builders who want to work at the intersection of frontier research, real infrastructure, and go-to-market.
Own customer outcomes and the metrics that prove them
Run deployments end to end with forward deployed engineers
Design, test and refine AI agents with the team
They are a late-stage, venture-backed enterprise AI company that helps customers deploy AI agents at scale. The company is growing quickly and values hands-on ownership, technical thinking, and a bias to action.
Design and build high-performance components using Modern C++ (C++17/20) in a ROS2-based architecture.
Integrate sensors and external interfaces into an embedded vision and sensor-fusion platform.
Contribute to architecture, code reviews, and mentoring to ensure scalable, reliable solutions.
They develop advanced embedded vision systems and intelligent traffic management solutions. The company brings together experienced developers, architects, and technical stakeholders in a collaborative and innovation-driven environment.