Applied AI Engineer
SuperPlanePoland10 hours ago
ContractRemote FriendlyEngineering, Information Technology
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About SuperPlane
SuperPlane is an AI-native DevOps control plane. Our mission is to build the platform teams use to ship and manage software in the AI era.
Agents are helping us write an order of magnitude more code, while systems have become too complex for human-driven ops alone. We're rethinking DevOps from first principles for the AI era: a single control layer where engineers and agents safely collaborate.
We move fast. We aim high. If that sounds like the kind of problem you want to work on, we’d love to talk.
About The Role
At SuperPlane, you’ll build the Cursor for DevOps..
This is an applied role. You’ll take modern AI capabilities such as LLMs, agents, retrieval, planning, and evaluation and turn them into reliable, observable, production systems that real engineers depend on. You’ll work at the boundary between models, infrastructure, and product, making careful tradeoffs between capability, latency, cost, and safety.
What You’ll Do
SuperPlane is an AI-native DevOps control plane. Our mission is to build the platform teams use to ship and manage software in the AI era.
Agents are helping us write an order of magnitude more code, while systems have become too complex for human-driven ops alone. We're rethinking DevOps from first principles for the AI era: a single control layer where engineers and agents safely collaborate.
We move fast. We aim high. If that sounds like the kind of problem you want to work on, we’d love to talk.
About The Role
At SuperPlane, you’ll build the Cursor for DevOps..
This is an applied role. You’ll take modern AI capabilities such as LLMs, agents, retrieval, planning, and evaluation and turn them into reliable, observable, production systems that real engineers depend on. You’ll work at the boundary between models, infrastructure, and product, making careful tradeoffs between capability, latency, cost, and safety.
What You’ll Do
- Design and implement AI-powered features end to end, including prompts, agents, tools, retrieval, evaluation, and feedback loops.
- Build agent systems that interact safely with infrastructure, codebases, and deployment pipelines.
- Integrate LLMs deeply into product workflows as core platform primitives.
- Own quality across correctness, reliability, latency, and cost of AI systems in production.
- Collaborate closely with Product, Frontend, and Backend engineers to ship cohesive user-facing features.
- Establish best practices for prompt design, evaluation, observability, and iteration.
- You shipped production systems where LLMs, tool calling, or RAG workflows were part of the core functionality.
- You’ve built and owned highly reliable backend systems with strong engineering judgment and technical depth. You are willing to master Go and Typescript.
- You’ve developed systematic LLM evaluation pipelines using observability tools (LangSmith/Braintrust) to track performance and regressions.
- You worked closely with product and frontend partners to deliver user-facing features.
- You communicate clearly in writing and in technical discussions.
- Work on an open source platform shaping the future of DevOps worldwide.
- Build AI systems that operate real infrastructure, not toy demos.
- Competitive compensation & meaningful equity in a high-growth startup.
- Fully remote and flexible environment that lets you focus and create.
Key Skills
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