Java Full stack Developer with Kotlin and AI (75% Backend)

Java Full stack Developer with Kotlin and AI (75% Backend)
Mountain View, CA (Hybrid 3 days onsite)

Need profile who is local to California with valid DL of California.
Job Requirement:
We are looking for a Senior Full Stack Engineer with strong backend expertise in Java/Kotlin to build enterprise-grade applications incorporating agentic AI capabilities. This is a hands-on product engineering role for engineers who can build applications and services from scratch, own features end to end, and use modern AI-assisted development tools such as Codex and Claude as part of their engineering workflow.

The ideal candidate is first a strong enterprise software engineer, with the ability to design and implement agentic capabilities rather than solely integrate prebuilt AI solutions.

Responsibilities

Design and build enterprise applications and new product capabilities from scratch.

Own features end to end, including architecture, backend implementation, APIs, frontend integration, testing, deployment, and production support.
Build scalable backend services primarily using Java and/or Kotlin.
Design APIs, service integrations, data models, and distributed application components.
Contribute across the full stack while maintaining strong backend ownership.
Build agentic AI capabilities from the ground up, including multi-step workflows, tool calling, orchestration, state/context management, and agent-to-application integrations.
Integrate agents with enterprise APIs, services, databases, and existing product workflows.
Apply appropriate reliability patterns such as validation, guardrails, retries, fallbacks, observability, and human controls.
Use Codex, Claude/Claude Code, or similar AI-driven development workflows for implementation, debugging, testing, refactoring, and engineering productivity.
Participate in architecture/design reviews and contribute reusable engineering and agentic patterns.
Required Experience

8+ years of professional software engineering experience preferred.
Strong hands-on Java and/or Kotlin development experience.
Strong backend engineering experience building production enterprise applications.
Genuine full-stack experience, including integration with modern frontend applications.
Demonstrated experience building enterprise applications or major product capabilities from scratch.
Strong API, microservices, distributed systems, data integration, and production engineering fundamentals.
Hands-on experience building AI agents or agentic workflows, rather than only calling LLM APIs.
Understanding of agent orchestration, tool/function calling, context/state management, RAG or retrieval patterns, and agent reliability.
Familiarity with agent frameworks/SDKs such as LangGraph, OpenAI Agents SDK, Anthropic tooling, or comparable technologies.
Familiarity with Codex and/or Claude-driven software development.
Experience shipping, testing, debugging, and operating production systems.

Preferred

React/TypeScript experience sufficient to contribute to full-stack feature delivery.
Experience building AI-enabled SaaS or enterprise products.
Experience with agent evaluation, observability, guardrails, and human-in-the-loop patterns.
Experience in regulated, financial, or other high-reliability enterprise environments.