We are looking for a Senior AI Developer to design, build, and operate AI-powered services in production. You will work on Python-based APIs, model integration, and platform reliability owning features from design through deployment and debugging at scale.
This role suits someone who is strong in Python backend development, API design, and scalability troubleshooting, and who can work closely with ML engineers, product, and platform teams.
Job Requirements
Design and implement REST/gRPC APIs in Python (FastAPI, Flask, or similar) for AI/ML features and internal services Integrate LLMs, embeddings, RAG pipelines and agents into production workflows
Build reliable data ingestion, preprocessing, and inference pipelines with clear observability
Profile and optimize latency, throughput, memory usage, and cost (batching, caching, async I/O, connection pooling)
Implement logging, metrics, tracing, and alerting for AI services (Dynatrace, Grafana, OpenTelemetry, etc.)
Write unit, integration, and load tests; participate in code reviews and production incident response
Collaborate with ML engineers on model serving, versioning, A/B testing, and safe rollout
Document APIs, runbooks, and architecture decisions for maintainability
5–8 years of professional software development experience
Strong Python skills and experience building production APIs
Hands-on experience with API frameworks (e.g. FastAPI, Flask, Django REST)
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Proven ability to debug scalability and reliability issues in distributed systems
Experience with SQL/NoSQL databases, caching (Redis), and message queues (Kafka, RabbitMQ, SQS, etc.)
Solid understanding of async programming, concurrency, and I/O-bound vs CPU-bound bottlenecks
Experience deploying services in Docker/Kubernetes or similar container platforms
Familiarity with CI/CD, Git, and agile delivery
Education
Bachelor's degree in Computer Science or a related field.
4-8 years of professional experience in software development
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.
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