Job Description:Senior Full Stack Engineer, Applied Agentic AI — Backend Dominant –
Location – Mountain View , CA (Hybrid)
Role Overview
· 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.
Required Experience:
· 7+ 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.
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