Senior Software Engineer; Applied Artificial Intelligence

Overview

• As a Senior Software Engineer, Applied AI, you’ll play a key role in building user-facing and backend systems that leverage GenAI to improve internal experiences and operations
• This role requires strong full-stack engineering skills, with an emphasis on both AI integration and building intuitive, performant UIs that make AI accessible and useful to our internal customers
• You’ll work closely with software engineers, product managers, and designers to build secure, intelligent tools for employees across Okta
• Design and build end-to-end GenAI-powered applications, including web-based UIs, API services, and backend orchestration
• Implement and integrate LLM-based experiences using frameworks like Lang Chain, Llama Index, and tools like OpenAI, Claude, or Gemini
• Define, implement, and champion operational excellence standards (SLOs, observability, incident response frameworks) for all services deployed
• Develop responsive, accessible, and modern frontend interfaces using frameworks like React or Vue — with a focus on usability, performance, and trust in AI outputs
• Build and maintain a library of reusable frontend components and hooks that allow other business delivery teams to easily “drop in” GenAI capabilities into their own applications
• Build and maintain retrieval-augmented generation (RAG) pipelines with vector search and embedding strategies (e.g., Pinecone, FAISS, Qdrant)
• Collaborate with designers and product managers to rapidly iterate on UX patterns for AI-powered experiences (e.g., prompt inputs, citations, summaries)
• Ensure security, privacy, observability, and test coverage across the full stack
• Contribute to architecture decisions, engineering standards, and best practices for AI/automation systems
• Partner with platform and infrastructure teams to ensure services scale reliably across the org
• Make AI Real:
  Design and build AI-powered apps used daily by Okta employees
• Full-Stack Challenge:
  Tackle end-to-end problems — from LLM orchestration to intuitive UIs
• Trusted Innovation:
  Join a team committed to security, ethics, and technical excellence in AI

• Work from home opportunities
• Health + Wellness
• Financial Benefits
• Pay + Incentives
• Time Off
• Everyday Living
• Resources

• Strong Python development skills and 2+ years experience building cloud-based services using AWS, Docker, and RESTful APIs
• 5–8 years of software engineering experience with full-stack development, including 2+ years of building AI/ML-driven applications
• Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure)
• Ability to collaborate across engineering, design, and product teams — with a strong sense of user empathy and technical ownership
• Familiarity with secure coding, authentication/authorization, and internal data governance best practices
• 5+ years of experience in frontend technologies like React, Type Script, or Vue, and comfort working on UI/UX for internal tools or enterprise applications
• Bonus:
  Exposure to design systems, AI evaluation tooling, or real-time application performance monitoring
• Hands-on experience with LLM integration, RAG pipelines, prompt engineering, or orchestration frameworks like Lang Chain or Llama Index