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Disney Entertainment & ESPN Technology Logo

Lead Software Engineer

Disney Entertainment & ESPN Technology

$152,200 - $223,600
Aug 20, 2025
San Francisco, CA, US
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Disney Entertainment and ESPN Product & Technology is looking to shape the future of AI-powered foundational services within the Quote-to-Cash space by guiding the technical direction of the team and ensuring the delivery of high-quality AI solutions.

Requirements

  • Deep expertise in Python, FastAPI/Django, and autonomous agent frameworks.
  • Proficient in SQL/NoSQL databases (e.g., Postgres), vector stores (e.g., FAISS, Pinecone), and RAG pipelines.
  • Familiarity with LLM evaluation tools (e.g., LangSmith, TruLens), prompt testing, and AI observability.
  • Experience with containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS).
  • Proficient in Python, LangChain/LangGraph, RAG, and have deep expertise engineering Agentic workflows.
  • Experience in software engineering, with a strong background in web application development and modern frameworks.

Responsibilities

  • Lead the design, development, and deployment of autonomous agents using Python, LangChain, and related ecosystems (e.g., LlamaIndex, LangGraph).
  • Implement agentic patterns such as ReAct, and Agentic Reflective Loops, ensuring robust inter-agent communication (e.g., MCP, A2A)
  • Collaborate with product managers, designers, and engineers to translate user needs into scalable, high-quality solutions.
  • Champion software engineering best practices, including CI/CD, testing, observability, and responsible AI behavior.
  • Guide and mentor engineers, conduct technical reviews, and drive continuous improvement initiatives.
  • Author and review technical proposals, root cause analyses, and maintain clear documentation.
  • Stay current with emerging technologies and integrate innovative approaches into the development process.

Other

  • Combine engineering skills with strong communication skills to work with stakeholders to turn business requirements into efficient, scalable features.
  • Previous experience in a U.S. startup environment and be comfortable performing multiple roles.
  • Committed to the agile methodology.
  • Work is guided by lean principles.
  • Hold themselves and their team accountable in a professional, collaborative manner.