Full Stack Developer (AI Focus - Hybrid CA)

An entertainment client based in Burbank is seeking a Sr. BI Developer to join a studio and production office technology team within the PMO who can lead the design and delivery of modern, scalable user experiences while operating effectively across a complex enterprise application landscape. This role is front-end anchored and requires the ability to contribute immediately to existing systems while remaining adaptable as the platform evolves. The ideal candidate uses AI-assisted development as a core engineering capability - not a novelty. Leveraging tools such as Cursor, GitHub Copilot, and Claude, they can rapidly understand unfamiliar codebases, safely extend production systems, and contribute across services regardless of underlying language or framework.

We are not looking for a developer locked into one ecosystem. We need someone whose primary strength is front-end engineering, whose

defining skill is leveraging AI to be effective everywhere, and who can support back-end systems as needed - using AI to bridge any language or framework gap.

Core Responsibilities:

1. AI-Accelerated Development.

• Use Cursor, GitHub Copilot, Claude, and similar AI-powered approved development tools as the

default mode of working - not occasionally, but as the standard engineering workflow every

single day.

• Use AI to accelerate code generation, intelligent refactoring, automated test creation, debugging,

code review assistance, and documentation generation

• Apply effective prompt engineering by providing clear goals, sufficient context, relevant source

material, and defined output expectations - then iterating and validating outputs before adoption

• Critically evaluate all AI-generated code for correctness, security vulnerabilities, hallucination

risks, performance implications, and maintainability before it reaches production

• Understand when AI output is trustworthy and when it is not - recognize hallucination patterns,

security blind spots, and cases where manual engineering judgment must override AI suggestions

1. Front-End Engineering (Primary Craft):

• Design, build, and maintain high-quality, responsive, and accessible user interfaces using

modern front-end frameworks such as React, Angular etc using AI tools.

• Translate product and business requirements into scalable technical solutions with a strong

emphasis on maintainability, usability, performance, and reliability

• Establish and evolve reusable UI patterns, shared components, and front-end architecture

standards that improve development velocity and long-term consistency

• Collaborate closely with UX/UI designers to translate design systems, wireframes, and

prototypes into polished, production-quality interfaces

• Implement and consume RESTful on the front-end with proper error handling, caching, and

optimistic updates.

1. Cross-Stack Contribution (AI-Augmented):

• Support and contribute to existing back-end services and APIs when required - using AI tools

to bridge any framework or language knowledge gaps efficiently and responsibly

• Drive end-to-end delivery by partnering across services (API integration, troubleshooting,

targeted fixes), while keeping front-end engineering as the primary ownership area.

• Read and safely modify back-end services using AI assistance, even when the underlying

technology is not the primary expertise. The expectation is not deep specialization in every back-

• 6+ years of experience as a full stack developer (front end development background heavy is okay /preferred) - in any languages - python heavily preferred

• Experience using AI-assisted coding tools such as Cursor or Claude (enough that they can push code to production/vibe code, and de-bug or create ai agents within an agentic design model)

• A front-end engineer who leverages AI effectively - not someone dependent on a single

language or framework - an engineer who can move fast without breaking production and someone who can add value immediately while remaining flexible as the platform evolves

• A developer who sees AI as a force multiplier, not a replacement for engineering judgment

• 5+ years of Data Warehouse Experience (they use SQL DB and Postgres/Snowflake)

• Expert in SQL and Python (Backend: Kotlin, Springboot, REST API’s)

• Required Education: Bachelor’s degree in Computer Science or Engineering, or related technical discipline

• Ability to be executive facing, very strong interpersonal skills * Entertainment industry or production tech experience

• Proficiency with the following languages are plusses: Jaca, Javascript, React, .NET, Python, SQL

React proficiency - able to create custom web app dashboards and migrate legacy analytics to a React framework