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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Engineer - **Company:** NetApp, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $170,000.0 - $253,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, EXEC (Scripting Language), Cursor (Graphical User Interface Elements), Python (Programming Language), NetApp Applications, Session Management, Software Engineering, AI Infrastructure, Enterprise Software Applications, Large Language Models, Prompt Engineering, Kubernetes, Information Technology - **Published:** July 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2aca61fcaeb8f497 ## About the Role This role requires strong software engineering fundamentals, comfort operating with ambiguity on a fast-moving small team, and the judgment to know when an AI-generated answer is good enough to ship versus a production risk., * Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent, relevant experience. * 8+ years of professional software development experience, with proven ownership of at least one system or domain end-to-end. * Production experience with LLMs - prompt engineering, agent development, and evaluation frameworks. * Hands-on experience building agent harnesses: tool calling, state/session management, retries, guardrails, and stop conditions for long-running agent workflows. * Deep, hands-on proficiency in Python/Go/Java * Experience with agent/orchestration frameworks (LangChain, LangGraph, or equivalent) and MCP or similar tool-calling standards, integrated with enterprise systems * Working knowledge of AI-native, spec-driven development workflows (agentic IDEs like Cursor/Claude Code) and defining quality gates for AI-generated code. * Strong problem decomposition and stakeholder navigation - able to scope an ambiguous cross-functional ask into a shippable plan and own it end-to-end, forward-deployed-engineer style., IC - Typically requires a minimum of 8 years of related experience.Mgr & Exec - Typically requires a minimum of 6 years of related experience. ## Description At NetApp, we have a history of helping customers turn challenges into business opportunities. That's because we bring new thinking to age-old problems, like how to use data most effectively in the most efficient possible way. As an Engineer with NetApp, you'll have the opportunity to work with modern cloud and container orchestration technologies in a production setting. You'll play an important role in scaling systems sustainably through automation and evolving them by pushing for changes to improve reliability and velocity., As an Sr Engineer on the AI Enablement team, you will be a hands-on builder and a force multiplier for how the broader Keystone engineering org works with AI. You'll split your time between scaling engineering practice and shipping autonomous agents that do real work - not prototypes that stall after a demo., * Scale engineering with AI * Drive spec-driven, agentic-IDE development workflows (Cursor, Claude Code) across the team, from spec to implementation to review, so AI usage translates into measurable velocity, not just novelty. * Define and evolve quality gates for AI-generated code: what changes in review, CI, and merge criteria when a large share of PRs are AI-assisted. * Build and maintain shared skills, prompts, and MCP tooling that other Keystone engineers reuse, reducing redundant AI infrastructure across teams. * Build production AI agents on the enterprise stack * Design and ship agent workflows (planner vs. fixed-workflow, state/retries, human-in-the-loop checkpoints) that automate real toil * Build well-scoped MCP tools/integrations against enterprise systems with clear schemas, auth boundaries, idempotency, and explicit rules on what data never reaches the model. * Own evals and guardrails for agents in production: offline golden sets, online sampling, canary/rollback paths, and hard checks on numeric/PII/outbound-send correctness - distinguishing tool failures from model failures. * Design for operational readiness from day one: what breaks under a 10× usage spike before quarter close, what the kill switch looks like when an agent gets a fact wrong, and how incidents get triaged. ## Related Videos - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [Software Security 101: Secure Coding Basics](https://www.wearedevelopers.com/videos/220-software-security-101-secure-coding-basics) - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) - [The AI-Native Software Team: How Agents Are Rewriting the SDLC](https://www.wearedevelopers.com/videos/100263-the-ai-native-software-team-how-agents-are-rewriting-the-sdlc) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)