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# Senior Full Stack Engineer, Applied Agentic AI Java Backend Dominant

- **Company:** DPR Solutions Inc.
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Component-Based Software Engineering, Software as a Service, Databases, Data Integration, Software Debugging, Programming Tools, Distributed Systems, OpenAI, Software Engineering, TypeScript, Enterprise Software Applications, ReactJS, Retrieval-Augmented Generation, Large Language Models, Claude Code, Backend, Agentic-AI, Kotlin, Build Management, Front End Software Development, Claude, Code Restructuring, Human in the Loop, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-full-stack-engineer-applied-agentic-ai-java-backend-dominant-mountain-view-ca--3febef06-d769-4d75-866c-6802e3b2a88d

## About the Role

Software Engineering, Artificial Intelligence (AI), Java, Java, Software Engineering, Kotlin, Product Engineering, Artificial Intelligence (AI), Programming Tools, Enterprise Applications, 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., · 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.

## Description

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., · 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.