# Staff Software Engineer, Front-End (AI Engineering)

**Company**: Okta
**Location**: Bengaluru, India
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/okta/jobs/6949710
**Canonical**: https://yubhub.co/jobs/job_9f4d3e45-9fb

## Description

We're looking for a Staff AI Engineer (Front end) to help design and scale our Agentic AI Platform , the foundation that enables enterprise teams to build, deploy, and manage intelligent AI agents securely and at scale.

As part of a global AI engineering team spanning the US and India, you'll provide technical leadership, write hands-on code, and mentor peers while shaping platform capabilities that empower applied AI use cases across Okta.

Responsibilities:

- Design and develop platform services for AI agents, including orchestration, lifecycle management, observability, and guardrails.

- Collaborate daily with US counterparts to align on architecture, share roadmaps, and ensure global consistency.

- Build scalable APIs, frameworks, and reusable components that enable teams to rapidly create and deploy secure AI agents.

- Contribute to monitoring, evaluation, and governance features that make AI adoption safe, reliable, and enterprise-ready.

- Partner with Applied AI engineers, product managers, and designers to ensure the platform supports real-world use cases.

- Mentor engineers within the India team, raising the bar on technical craftsmanship and platform design.

- 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.

## Skills

### Required
- Python
- Java
- Node.js
- Go
- React
- Vue
- AI agent frameworks
- Orchestration systems
- Vector databases
- RAG pipelines
- Monitoring/observability
- Distributed systems
- APIs
- Microservices
- Container orchestration
- Cloud platforms