Software Engineer

Own Every Moment at NetApp
At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.
Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function.
Job Summary
We are looking for an AI Engineer to build, evaluate, and ship GenAI-powered applications in production. You will turn foundation models into reliable, observable features - building Python APIs, RAG pipelines, and agentic workflows, proving quality with evals, and deploying with strong reliability and cost discipline. You will work across development, experimentation, and deployment alongside ML, product, and platform teams.
Job Requirements
Build / Experiment
Design Python APIs (FastAPI/Flask) and integrate LLMs, embeddings, RAG, and agents (LangGraph, Google ADK, LangChain/LlamaIndex) into production.
Implement tool/function calling and MCP; apply prompt and context engineering.
Build data ingestion, preprocessing, and inference pipelines with clear observability.
Own the eval harness: write evals before shipping (RAGAS, DeepEval, or LangSmith) covering faithfulness, retrieval quality, latency, and cost.
Run prompt/model A/B tests and tune retrieval (chunking, hybrid search, re-ranking).
Explore light fine-tuning (LoRA/QLoRA) when it beats prompting or RAG.
Ship & Operate (Good to have)
Deploy on Docker/Kubernetes with CI/CD, versioning, and safe rollout.
Add logging, metrics, and tracing (Grafana, OpenTelemetry) and optimize latency, throughput, and cost (caching, batching, streaming).
Write tests, review code, and support production incidents.
What We're Looking For (Required)
2-3 years of software development experience, including ML/AI engineering.
Strong Python and production API experience (FastAPI, Flask, or Django REST).
Hands-on GenAI app experience: LLM integration (OpenAI, Anthropic, Azure OpenAI, Bedrock, or Vertex), RAG, and at least one agent framework with tool calling.
Prompt/context engineering and an evaluation mindset (RAGAS/DeepEval/LangSmith).
Experience with a vector database (pgvector, Pinecone, Weaviate, Qdrant, or FAISS).
Awareness of guardrails, prompt-injection defense, PII handling, and responsible AI.
Async programming; SQL/NoSQL, caching (Redis), and message queues (Kafka, SQS, or similar).
Docker/Kubernetes, CI/CD, and Git.
Education
Education and General Skills:
Bachelor’s degree in engineering/ statistics/ data science (or related). Master’s degree is a plus
4-8 years of professional experience in Software Development / ML Engineering
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
Equal Opportunity Employer:
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.
Why You'll Thrive at NetApp
At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.
NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.
Our culture
We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.
If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Submitting an Application
To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.
AI Disclosure
For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

Work arrangement
No