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As a Staff AI Software Engineer, you will:

• Design, build, and operate backend services in Python that power AI-driven products and shared capabilities.
• Build and maintain resilient service integrations across internal and external systems, handling failure modes, rate limits, and interface changes.
• Own ambiguous, end-to-end problems: from early design and architecture through implementation, rollout, and iteration in production.
• Develop and evolve LLM-backed features and agentic workflows used in production, with a focus on reliability, observability, and real-world behavior.
• Contribute to core AI platforms and enablement systemsservices that your team uses directly and that other engineers can build on.
• Collaborate with product managers, researchers, and other engineers across teams to turn loosely defined AI use cases into concrete, production-ready systems.
• Help shape evaluation and quality strategies for AI-powered features, including building or extending evaluation harnesses, benchmarks, or feedback loops.
• Act as a technical leader for the work you ownmaking sound design decisions, coordinating with stakeholders, and contributing to design and code reviews.

What skills and experience should you bring?

• A degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience building and shipping production backend software.
• Excellent modern Python engineering skills, with the ability to work effectively in distributed, asynchronous environments.
• Strong system design skills, including the ability to write clear design docs and solution specifications that align stakeholders and drive sound architectural decisions.
• Demonstrated ability to shepherd work from concept through production in complex, evolving environments.
• Proven experience designing and implementing integrations across multiple systems in production environments.
• Hands-on experience shipping and operating LLM- or generative-AI-backed features or services as part of larger production systems.
• Excellent communication skills and a collaborative approach in globally distributed teams.

Strong candidates typically bring experience in several of the following areas:

• Experience designing or operating core platforms, internal services, or developer enablement tooling.
• Experience with applied LLM systems and context engineering, including agentic workflows, retrieval-augmented generation, or evaluation pipelines.
• Experience building and evolving service interfaces using REST, GraphQL, and/or gRPC, with an understanding of tradeoffs around performance, schema evolution, and compatibility.
• Experience with stateless and stateful backend systems (e.g., relational or NoSQL databases, caching, streaming systems).
• Experience with modern AI engineering ecosystems, such as Pydantic AI, LLM tracing and observability systems, evaluation pipelines, or MCP.
• Familiarity with MLOps or AIOps concepts and tooling (e.g., MLflow, Databricks, model gateways).
• Experience with cloud infrastructure (AWS, Azure, GCP), including effective use of managed services, and deployment tools (Docker, Kubernetes, Terraform, ArgoCD).
• Background inor curiosity aboutapplying AI to cybersecurity or similarly complex, real-world domains.

Why Us?

You will be joining a cutting-edge company where you will tackle extraordinary challenges and work with the very best in the industry.

• Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA
• Unlimited PTO
• Industry-leading gender-neutral parental leave
• Paid Company Holidays
• Paid Sick Time
• Employee stock purchase program
• Disability and life insurance
• Employee assistance program
• Gym membership reimbursement
• Cell phone reimbursement
• Numerous company-sponsored events, including regular happy hours and team-build ng events

This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.

Base Salary Range

$156,000

$247,250 USD

SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.