[Hiring] Applied AI Engineer @SuperPlane

Role Description

At SuperPlane, you’ll build the Cursor for DevOps. This is an applied role where 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.

• 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.

Qualifications

• 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.

Requirements

• Experience with production systems involving LLMs, tool calling, or RAG workflows.
• Strong engineering judgment and technical depth in backend systems.
• Willingness to master Go and Typescript.
• Experience developing LLM evaluation pipelines using observability tools.
• Ability to collaborate with product and frontend teams.
• Strong communication skills in writing and technical discussions.

Benefits

• 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.