Applied AI Engineer

Role Overview

This is a senior-level applied AI engineering role where you'll design and implement AI-powered features end-to-end, including prompts, agents, retrieval, and evaluation systems. You'll work at the intersection of models, infrastructure, and product, focusing on building reliable, observable production systems that integrate LLMs into DevOps workflows. The role involves collaborating with cross-functional teams to ship user-facing features and establishing best practices for AI system quality and observability.

Perks & Benefits

The role offers a fully remote and flexible work environment with no specific time zone restrictions, allowing you to focus and create from anywhere worldwide. Benefits include competitive compensation, meaningful equity in a high-growth startup, and the opportunity to work on an open-source platform shaping the future of DevOps. You'll build AI systems that operate real infrastructure, not toy demos, in a fast-paced, high-aiming culture that values clear communication and technical depth.

Full Job Description

Headquarters: USA URL: https://superplane.com/

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

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.

Requirements

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.

Why You ll Love Working at SuperPlane

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.

To apply: https://weworkremotely.com/remote-jobs/superplane-inc-applied-ai-engineer

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