Senior Full Stack Engineer, Applied Agentic AI

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.