Senior AI API Platform Engineer

About the Role The AI API Platform Engineer is a hands-on technical lead who designs and builds the APIs and platform capabilities powering Rubrik's AI-driven products and automation, owning the full API lifecycle across any stack, cloud, or iPaaS. This role delivers secure, scalable, high-performance APIs and full-stack services while enabling AI-native consumption patterns across the enterprise. Key Responsibilities • Design and own APIs in any tech stack - REST, GraphQL, gRPC, and webhooks - choosing the right language, cloud service, or iPaaS for each use case. • Build for AI use cases , exposing data/services as tools for LLMs and AI agents, and enabling RAG and agentic workflows. • Own core backend engineering in Node.js / Java / Python / Go, with strong data modeling and performance tuning. • Define API governance - versioning, documentation standards, and reusable auth/error-handling/observability frameworks. • Provide technical leadership through design reviews, code reviews, and mentoring of engineers. • Define NFRs and SLAs for availability, latency, throughput, and reliability, and ensure designs meet them. • Partner with security and compliance to meet regulatory and audit requirements across APIs and integrations. • Lead technical discovery for new API, integration, and AI-enablement initiatives with product and business stakeholders. • Drive reuse and standardizatio n through shared APIs, connectors, SDKs, and an integration catalog. • Evaluate emerging patterns (event-driven integration, AI agent frameworks, low-code automation) to shape the platform roadmap. Required Qualifications Experience • 8+ years of software engineering experience, with 5+ years in API/full-stack/backend development across multiple languages and clouds. • 2+ years in a senior/lead/architect capacity owning API and platform designs for complex, enterprise-scale systems. • 1+ years in an FDE role, working directly with internal customers. Technical Skills - API, Fullstack & Backend • Deep API expertise across REST, including contract-first design (OpenAPI/Swagger) and robust error handling. • Strong backend and full-stack skills in Node.js / Java / Python / Go, plus platform-agnostic experience across cloud and iPaaS (MuleSoft, Workato, Boomi). • Cloud-native development on AWS, Azure, or GCP, including serverless, Kubernetes, and infrastructure as code. • Strong data skills - SQL and NoSQL database design, plus integration data formats (JSON, XML, CSV). • Secure API design using OAuth 2.0/OIDC, mTLS, and secrets management, with solid CI/CD and Git-based workflows. • SaaS integration experience with platforms such as NetSuite, Workday, Salesforce, or Snowflake. • API Gateway expertise with platforms such as Kong / Apigee / AWS API Gateway / Azure APIM / MuleSoft API Gateway for routing, rate limiting, and policy enforcement. • API testing proficiency using tools such as Postman for functional, and regression testing • Networking fundamentals, including VPN/VPC concepts. • Working knowledge of DevOps practices and toolchains . Technical Skills - AI & Intelligent Platform Enablement • Hands-on experience with the AI-assisted SDLC - using AI tools to design, build, test, and manage APIs. • Experience building APIs for AI consumption , including function/tool-calling interfaces for LLMs and agents. • Working knowledge of AI/LLM frameworks (OpenAI, Anthropic, LangChain) and vector databases, and how they integrate with enterprise APIs. • Understanding of AI-specific NFRs - latency, cost, rate limiting, and safety/guardrails. • Practical experience with AI coding assistants (e.g., GitHub Copilot, Cursor, Claude Code) for AI assisted platform and infrastructure development. Soft Skills • Proven ability to lead wi