Senior Platform Engineer

Percepta
New York CityPosted 26 March 2026

Tech Stack

Job Description

Senior Platform Engineer WHO WE ARE Percepta’s mission is to transform critical institutions with applied AI. We care that industries that power the world (e.g. healthcare, manufacturing, energy) benefit from frontier technology. To make that happen, we collaborate with our industry-leading customers to drive AI transformation. We bring together: - Forward-deployed expertise in engineering, product and research - Mosaic, our in-house toolkit for rapidly deploying agentic architectures - Strategic partnerships with companies like Anthropic, McKinsey, AWS and the General Catalyst portfolio Our team is a quickly growing group of Applied AI Engineers, Embedded Product Managers and Researchers motivated by diffusing the promise of AI into improvements we can feel in our day to day lives. Percepta is a direct partnership with General Catalyst, a global transformation and investment company. ABOUT THE ROLE We’re hiring a Senior Platform Engineer to help build the core infrastructure that powers Percepta’s AI systems. This role sits at the intersection of customer deployments and platform architecture. You’ll work as part of a team embedded inside critical institutions, helping design and build the systems that allow AI agents to interact with real-world tools, services, and environments. Much of the work will start in the field—building systems that solve concrete problems for a specific customer. But the end goal is always the same: extract the right abstractions and encode them back into the platform so future systems can be built faster. The problems are new, the patterns are still emerging, and the systems we’re building often don’t have established playbooks yet. WHAT YOU’LL DO - Build the core platform that enables AI agents to interact with external tools, services, and environments - Design systems that orchestrate complex multi-step workflows driven by frontier models - Work as part of Percepta teams embedded with customers to ship production AI systems - Extract reusable abstractions and infrastructure from real deployments - Design reliable interfaces between AI systems and distributed execution environments - Rapidly prototype new architectures as we explore emerging patterns in AI infrastructure - Contribute to the evolution of Mosaic, encoding new capabilities that accelerate future deployments WHAT WE’RE LOOKING FOR - 6+ years building production backend systems or developer platforms - You're the kind of engineer who, when the abstraction doesn't exist yet, builds it rather than works around it - Strong fundamentals in distributed systems, APIs, and service architecture - Experience designing infrastructure that coordinates multiple services or execution environments - Ability to work effectively in ambiguous problem spaces where patterns are still emerging - Comfort moving quickly from prototype to production system - High-agency mindset with strong communication and collaboration skills - Deep curiosity about agentic workflows/abstractions NICE TO HAVE - Familiarity with workflow orchestration systems or task execution frameworks - Experience building and maintaining developer platforms or internal infrastructure - Experience working directly with customers or design partners - Background in infrastructure, platform engineering, or distributed systems If you want to build the infrastructure layer for AI systems that actually matter, let's talk. OUR VALUES Dream bigger: We have the unique privilege of taking on the most ambitious problems and we should chase them with optimism, responsibility, and genuine belief that we can make it happen. We have to embrace the hard things when no one else will. Heart in the game: What we're doing matters and we have to give a shit. Internally, that means fixing badness when you find it. Externally, it means honoring the trust our customers place in us with their most important problems. This isn’t a 9-5, nor is it a job we’re ever going to mon ... (truncated, view full listing at source)
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