Okta is The World’s Identity Company, focused on secure access and authentication solutions. They are seeking a Staff Engineer to join their global AI Engineering team, responsible for designing and building intelligent user-facing experiences and end-to-end AI solutions.
Responsibilities:
- Design, build, and refine the front-end interfaces that bring our AI capabilities to life for employees and customers
- Build high-performance Agentic Experiences (AX) for web and mobile, engineered for streaming responses and low latency
- Champion observability and operational excellence to ensure our AI services meet enterprise-grade standards for reliability and performance
- Develop robust backend services to power our AI solutions, including LLM orchestration, RAG pipelines, and generative AI features
- Enable the successful delivery of key AI projects through technical leadership and hands-on execution
- Mentor engineers, raising the bar on technical craftsmanship and solution quality across the full stack
- Collaborate with India-based peers to ensure globally aligned designs, shared roadmaps, and scalable architectures
- Partner with Security, Data, and Infrastructure teams to ensure AI adoption is secure, reliable, and enterprise-ready
Requirements:
- 7+ years in software engineering, with deep expertise in front-end development (5+ years in modern frameworks like React, Vue, or Angular)
- 4+ years with backend systems design and development (Python preferred, Java, Node.js, or Go)
- A strong commitment to building accessible (a11y) and inclusive user experiences while collaborating effectively with Product & Design
- Proven experience integrating LLMs and MCPs into production-ready, user-facing applications
- Strong background in building distributed systems, microservices, and resilient APIs (REST/GraphQL) on cloud platforms (AWS/GCP/Azure)
- Demonstrated ability to influence technical strategy and lead architecture decisions across global teams
- Excellent communication skills with experience working effectively across time zones and cultures
- Experience with agentic frameworks like LangChain, LangGraph, and LangSmith is a strong plus