The Walt Disney Company

Senior Software Engineer

The Walt Disney Company

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $138,900 - $186,200 per year

Job Level

Senior

Tech Stack

CloudiOSPythonScalaSwift

About the role

  • We’re looking for a Senior Software Engineer to help shape the future of Ad Technology’s Generative AI platform, with a focus on building reusable capabilities and intelligent agents that streamline and automate critical operational workflows. This is a unique opportunity to apply cutting-edge AI tools to real-world challenges, improve efficiency, reduce manual effort, and empower teams across our ad delivery ecosystem. You’ll play a dual role: Engineering reusable GenAI platform services, such as prompt routing, vector search, auditing, guardrails, and secure gateway abstraction Building production-ready agents using frameworks like LangGraph and LangChain to automate workflows across infrastructure, support, CI/CD, and business operations Design and build reusable GenAI platform components, including Prompt orchestration layers Secure gateway abstraction using tools like LiteLLM, Portkey, or Kong Embedding and retrieval infrastructure using vector databases like Pinecone, or FAISS Audit, logging, and trace analysis with tools like LangSmith Guardrails integration for output validation, safety checks, and policy enforcement Develop multi-turn LLM agents and tools using LangGraph and LangChain to automate operational workflows Build robust APIs, SDKs, and accelerator components that serve as initializers for internal product teams, bots, and platforms to rapidly integrate and adopt GenAI services Standardize approaches to context management, tool calling, fallback handling, and observability across agents Ensure platform components meet security, governance, and compliance standards Partner with infrastructure, data, security, and product teams to integrate GenAI workflows into existing systems

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field. 5+ years of backend or platform engineering experience, with a track record of building scalable APIs Hands-on experience integrating with LLM APIs such as OpenAI, Claude, and Anthropic, and building LLM-powered workflows, agents, or AI assistants Proficient in Python; familiarity with LangChain, LangGraph, or similar LLM orchestration frameworks Familiarity with observability practices for LLM-based systems, including logging, latency tracking, and output monitoring Experience with LLM evaluation and testing frameworks to validate prompt behavior and agent reliability across iterations Strong understanding of cloud-native design patterns, secure AI API integration, and service scalability Working knowledge of vector databases such as Pinecone, FAISS, or Weaviate, along with retrieval-augmented generation (RAG) techniques Experience building modular, reusable GenAI components that support cross-functional adoption and internal accelerators Comfort working with CI/CD pipelines and collaborating with DevOps teams to deploy and monitor GenAI workflows