BackOps is the AI resolution layer for companies that make or move physical goods. It improves and executes internal processes across systems, internal teams, and external parties. Backed by Gradient Ventures.
About the role
As an AI/ML Engineer, you'll own the infrastructure and systems that make Relay's underlying intelligence more capable, efficient, and reliable. Building an AI operator that can reason through a workflow is one challenge. Making that intelligence perform consistently across thousands of real-world operational scenarios, fragmented enterprise systems, and unpredictable conditions is another. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Your AI experience is primarily integrating third-party APIs or building lightweight LLM applications without meaningful infrastructure or systems ownership
- Your background is concentrated in theoretical ML research or offline model development, and you haven't owned the engineering required to bring AI capabilities into production
- You're most comfortable operating within an established infrastructure stack rather than defining foundational systems and architectural patterns
- You think optimizing model performance is exclusively about improving benchmark scores, without considering reliability, latency, cost, and real-world outcomes
- You prefer narrowly scoped implementation work over owning difficult technical problems from architecture through production
More about this role
BackOps is building the AI resolution layer for companies that make or move physical goods.
The physical economy still runs on a fragmented web of ERPs, WMSs, TMSs, carrier and vendor portals, email, spreadsheets, legacy systems, and the people who know how to hold all of it together. When something breaks, whether a shipment is delayed, an order changes, a claim needs to be filed, a document is missing, someone has to gather context across systems, determine what should happen next, take action, and make sure the problem is actually resolved.
BackOps automates that work.
Our platform, Relay, deploys AI operators that understand operational workflows, work across the systems our customers already use, take action, navigate exceptions, and carry work through to resolution. We aren't building another dashboard or copilot. We're building the execution layer that sits between systems and gets the work done.
We recently raised a $42M Series B led by Insight Partners, just six months after our Series A, and are scaling across some of the largest companies in logistics, manufacturing, retail, and other industries that power the physical world.
The opportunity ahead is much larger than...
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