Percepta AI Logo

Percepta AI

Staff Platform Engineer

Reposted 16 Hours Ago
Be an Early Applicant
In-Office
New York City, NY, USA
300K-425K Annually
Senior level
In-Office
New York City, NY, USA
300K-425K Annually
Senior level
The Senior Platform Engineer will build infrastructure for AI systems, design complex workflows, and develop reusable abstractions while collaborating with customers.
The summary above was generated by AI
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 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.

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 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.

Similar Jobs

18 Days Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
200K-350K Annually
Senior level
200K-350K Annually
Senior level
Fintech • Software • Financial Services
Build the core AI platform and high-performance Rust backend powering an AI-native trading copilot. Implement streaming responses, low-latency tool execution, caching, orchestration of models and tools, secure APIs, auditing/tracing, and safe, auditable trading action infrastructure. Partner with product and frontend to enable AI-native UX and translate trading domain requirements into resilient platform primitives.
Top Skills: CachingLlm ApisModel ServingPostgresReactReact NativeRustStreamingTokio/AsyncTypescript
18 Days Ago
In-Office or Remote
New York, NY, USA
200K-300K Annually
Senior level
200K-300K Annually
Senior level
Mobile • Software
Build and operate Radar's infrastructure and developer platform to support 1B API calls/day. Work on backend, SDKs, and data systems using TypeScript, Rust, Python, and Scala. Improve observability, automation, CI/CD, IAM, feature flags, and security; enable self-serve developer workflows; collaborate with SRE, data, QA, and customers; participate in on-call rotation.
Top Skills: AirflowAndroidAthenaAWSClaudeCodexEksiOSKubernetesMaplibreMongoDBNode.jsOpenaddressesOpenstreetmapPythonReact NativeRedisRustS3ScalaTerraformTypescript
4 Days Ago
Remote or Hybrid
2 Locations
221K-349K Annually
Expert/Leader
221K-349K Annually
Expert/Leader
Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
Lead design and evolution of Hex's graph-based compute execution architecture. Optimize parallel execution, caching, and remote warehouse interactions. Instrument and diagnose performance, author technical proposals, mentor engineers, and roadmap long-term platform designs while remaining hands-on in backend code.
Top Skills: Apollo GraphqlAWSDockerExpressHelmKubernetesPostgresPythonReactRedisReduxSnowflakeTerraformTypescript

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account