Full-Time Staff AI API Engineer
SentinelOne is hiring a remote Full-Time Staff AI API Engineer. The career level for this job opening is Expert and is accepting USA based applicants remotely. Read complete job description before applying.
SentinelOne
Job Title
Posted
Career Level
Career Level
Locations Accepted
Salary
Share
Job Details
About Us At SentinelOne, we’re redefining cybersecurity by pushing the limits of what’s possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow’s threats. We’re looking for passionate individuals who thrive in collaborative environments and are eager to drive impact.
What are we looking for? We’re seeking a Staff AI API Engineer specialized in backend systems and API development. This role requires deep expertise in Python-based API engineering, database architecture, distributed systems, and high-performance backend infrastructure. The ideal candidate will have proven experience designing, building, and maintaining production-grade APIs that integrate sophisticated AI functionality.
What will you do? As a Staff AI API Engineer, you’ll 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, implementing 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 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.
What skills and experience should you bring? We’re looking for experienced engineers passionate about building secure, high-performing backend systems. A degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience is required. 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. Exceptional candidates will also bring expertise in languages beyond Python, MLOps and AIOps practices, cloud infrastructure, and deployment tools. 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.