Want to know if this job is worth applying to?
New York, New York, United States
Hybrid
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 embed with 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 workflows
Strategic partnerships with Anthropic, McKinsey, AWS, companies within the General Catalyst portfolio, and more
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.
We’re hiring a Staff 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.
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
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
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.
We’re working against an incredibly ambitious mission. It won’t be easy, but it will likely be the most fulfilling work of your career. If this excites you, let's chat, even if you don't meet all of the qualifications above.
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 monitor your hours. We promise to put work in front of you that matters and in return, we ask you to promise to care.
Win for the customer: Everyone is an engineer and the job of an engineer is to deliver outcomes, not outputs. Everything we do—the products we build, the partnerships we launch, the strategy we set—exists to make our customers successful. Delivery is the strategy.
Make the call: Organizations are only as strong as the pace at which they make decisions. Everyone at Percepta should feel empowered to commit and shape the ambiguity in front of them. But "make the call" cuts both ways: make the decision and make the phone call. High-agency decision-making only works with high-bandwidth communication and we commit to never operate in silos.
Intensity with kindness: We believe in excellence in execution, candor in feedback, ruthlessness in prioritization, and survivalist urgency. We also believe you don't need to be an asshole to deliver on any of this. The trust built through shared kindness and vulnerability is what makes the intensity sustainable.
