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About the Role

The Business Operations team within Disney Entertainment and ESPN Product & Technology (DEEP&T) is seeking an AI Engineer to build and support enterprise Generative AI applications. This role will contribute to a conversational AI platform for natural language interaction with enterprise operational data, focusing on hands-on GenAI application engineering, including Python development, retrieval and grounding workflows, prompt design, conversational AI support, and backend service integration. The role also includes direct exposure to production GenAI practices like LLMOps, evaluation, observability, deployment support, agentic workflows, tool calling, MCP style integrations, and production troubleshooting.

Responsibilities

Build and maintain Python based GenAI application components
Connect conversational AI workflows with backend services, web applications, and internal tools
Implement retrieval and grounding workflows that support source backed AI responses
Develop prompt logic, response formatting, structured outputs, and validation patterns
Assist with document ingestion, semantic chunking, metadata handling, and retrieval testing
Support agentic workflows involving tool use, function calling, API actions, and multi step reasoning
Learn and contribute to MCP style integration patterns for connecting AI systems to tools, data, and enterprise services
Support LLMOps practices, including observability, logging, monitoring, evaluation, latency tracking, cost tracking, and production troubleshooting
Help create and maintain validation datasets, regression tests, and response quality review workflows
Assist with deployment support, environment configuration, and operational documentation
Use AI developer tools such as Cursor, Claude Code, or similar tools as part of the required engineering workflow to improve velocity, code understanding, testing, and documentation quality
Work with senior engineers to improve reliability, maintainability, and transparency of GenAI systems

Requirements

3+ years of professional software development experience
Strong Python development skills
Hands on experience or project work with GenAI applications or conversational AI systems
Familiarity with retrieval based GenAI patterns, grounding, embeddings, vector search, and prompt engineering
Experience integrating APIs and backend services
Hands on exposure to MCP, tool calling, function calling, or agentic integration patterns
Exposure to cloud application development in Azure, AWS, or GCP
Ability to read logs, investigate issues, and troubleshoot application behavior
Working knowledge of LLMOps concepts, including evaluation, observability, monitoring, deployment support, and production AI system reliability
Required use of AI assisted developer tools such as Cursor, Claude Code, or similar tools to support development velocity, documentation, code review preparation, and technical problem solving
Bachelor’s degree required
Frontend depth and platform experience
Experience with Azure OpenAI, Azure AI Foundry, Azure Functions, Azure App Service, or Application Insights
Experience with Microsoft Teams bots or enterprise conversational interfaces
Familiarity with Snowflake Cortex, Cortex Analyst, semantic views, or natural language to SQL workflows
Experience with MongoDB, Atlas Vector Search, or graph databases
Experience testing AI responses against expected answers, source data, or user feedback
Exposure to CI/CD, Docker, telemetry, and deployment pipelines
Interest in secure enterprise AI patterns, grounding, access control, and responsible AI behavior

Skills

Python
GenAI
Conversational AI
Retrieval based GenAI patterns
Grounding
Embeddings
Vector search
Prompt engineering
API integration
Backend service integration
MCP style integration patterns
Tool calling
Function calling
Agentic workflows
LLMOps
Observability
Logging
Monitoring
Evaluation
Latency tracking
Cost tracking
Production troubleshooting
Validation datasets
Regression tests
Response quality review
Deployment support
Environment configuration
Operational documentation
AI developer tools (Cursor, Claude Code, etc.)
Cloud application development (Azure, AWS, GCP)
Log analysis
Troubleshooting
Frontend development
Platform experience
Azure OpenAI
Azure AI Foundry
Azure Functions
Azure App Service
Application Insights
Microsoft Teams bots
Enterprise conversational interfaces
Snowflake Cortex
Cortex Analyst
Semantic views
Natural language to SQL
MongoDB
Atlas Vector Search
Graph databases
CI/CD
Docker
Telemetry
Deployment pipelines
Secure enterprise AI patterns
Access control
Responsible AI behavior

Location

Seattle, WA, USA
Glendale, CA, USA

Work Type

Full time

Experience Level

3+ years of professional software development experience

Education Level

Bachelor’s degree

Salary/Compensations

Seattle, WA: $123,000.00 - $165,000.00 per year
Glendale, CA: $117,500.00 - $157,500.00 per year

Benefits

Bonus
Long-term incentive units
Full range of medical, financial, and/or other benefits

About the Company

Disney Entertainment and ESPN Product & Technology (DEEP&T) is a global organization of engineers, product developers, designers, technologists, data scientists, and more, building and advancing the technological backbone for Disney’s media business globally.
The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses.
Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories, including Disney+, Hulu, ESPN, ABC, and ABC News.
We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems.