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Staff Software Engineer, Front End AI

okta· 426 open roles

Location TBD On-siteFull-time2 weeks ago
Salaryest.
$150,000 - $250,000
Experience
Mid
Job Type
Full-time
Posted
2 weeks ago
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About This RoleAI processing…

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Key Responsibilities

  • 1
    Design and develop platform services for AI agents, including orchestration, lifecycle management, observability, and guardrails.
  • 2
    Collaborate daily with US counterparts to align on architecture, share roadmaps, and ensure global consistency.
  • 3
    Build scalable APIs, frameworks, and reusable components that enable teams to rapidly create and deploy secure AI agents.
  • 4
    Contribute to monitoring, evaluation, and governance features that make AI adoption safe, reliable, and enterprise-ready .
  • 5
    Partner with Applied AI engineers, product managers, and designers to ensure the platform supports real-world use cases.
  • 6
    Mentor engineers within the India team, raising the bar on technical craftsmanship and platform design.
  • 7
    Stay current with advances in agentic AI, orchestration frameworks, and enterprise AI infrastructure .

Requirements

  • 8+ years of software engineering experience, with at least 3+ years in AI/ML platforms or intelligent automation.
  • 5+ years in modern frontend frameworks (e.g., React, Vue) with the ability to build functional UI components, integrate APIs, and maintain design consistency.
  • Knowledge on Python preferred, Java, Node.js, or Go.
  • Expertise in AI agent frameworks (LangGraph preferred), orchestration systems, vector databases, RAG pipelines, and monitoring/observability .
  • Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS) , and cloud platforms (AWS/GCP/Azure) .
  • Experience building secure, enterprise-grade infrastructure for AI or ML workloads.
  • Ability to influence architecture decisions, align with a global team, and set technical direction locally.
  • Strong communication and collaboration skills to work effectively across time zones and global teams .

Perks & BenefitsTypical for this role

Competitive compensation aligned with experience and market rate
Health, dental, and vision coverage
Paid time off and company holidays
Remote-friendly or hybrid working arrangements where applicable
Learning and professional development support
Modern tools and equipment to do your best work

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