Staff AI API Engineer

SentinelOne is redefining cybersecurity by leveraging AI-powered, data-driven innovation. They are seeking a Staff AI API Engineer to develop and maintain high-performance backend APIs and design scalable architectures for their AI products.

Responsibilities:

• Develop and maintain high-performance Python-based backend APIs supporting our generative and agentic AI products
• Design and implement scalable, secure, and reliable backend architectures, leveraging technologies like asyncio, FastAPI, gRPC, Kafka, and GraphQL
• Ensure robust data management, incorporating relational and NoSQL databases, Redis caching, streaming, and efficient data handling
• Implement and manage secure zero-trust authentication and authorization schemes for public and internal APIs
• Collaborate closely with frontend engineers, AI researchers, product managers, and DevOps teams to deliver cohesive product experiences
• Optimize backend services for scalability, reliability, and performance in high-availability environments

Requirements:

• A degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
• 7+ years of professional experience developing scalable, production-quality Python backend services
• Expert-level proficiency with Python, asyncio, and backend API frameworks such as FastAPI, gRPC, and GraphQL
• Deep understanding of backend architectures, distributed systems, and microservices
• Experience managing database architectures (relational databases, NoSQL, Redis)
• Strong expertise in authentication and authorization protocols (OAuth, JWT, OpenID Connect, etc.)
• Proven track record interacting with third-party APIs and developing fail-safe integrations
• Familiarity with modern generative AI technologies (e.g., OpenAI, Anthropic, Google Gemini, Meta's LLaMA) and experience building backend integrations
• Excellent communication skills and a collaborative approach in globally distributed teams
• Proficiency in languages beyond Python, including Go, Java, Kotlin, Rust, C++
• MLOps and AIOps practices and tools such as MLFlow, Airflow, or Weights & Biases
• Experience with cloud infrastructure (AWS, Azure, GCP) and deployment tools (Docker, Kubernetes, Terraform, ArgoCD)
• Experience optimizing API performance and scalability in production environments
• Background in cybersecurity, threat detection, or related fields
• Agile methodologies, including experience as a Technical Lead or Scrum Master