Senior Software Engineer
| Company | The Walt Disney Company |
|---|---|
| Location | San Francisco, CA, USA, Glendale, CA, USA |
| Salary | $138900 – $203900 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- Bachelor’s in Computer Science, Engineering, or a related field; and/or related work experience
- 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
Responsibilities
- 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
Preferred Qualifications
- Masters Degree in a related field; and/or related certification/s
- Experience with LangSmith, PromptLayer, or tracing tools for debugging and evaluation of LLM workflows.
- Knowledge of AI gateway patterns and usage throttling like Kong, LiteLLM, or Portkey.ai
- Familiarity with guardrails, safety evals, prompt injection defense, and model governance frameworks.
- Previous experience building platforms or enablement tooling used across multiple engineering teams.
- Exposure to infrastructure or DevOps automation use cases is a plus.