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As a Senior Agentic AI Engineer in the DMTE team, you'll be the driving force behind embedding intelligent, autonomous AI capabilities into Roku's platform — reimagining how our systems create, optimize, and deliver experiences to tens of millions of devices. Rather than building UI features directly, you'll design and deploy agentic AI systems that reason, plan, and act across our development and delivery pipelines — from automating the generation of themed experiences to enabling self-optimizing rendering workflows within the FRAME engine. You'll leverage your years of experience in software engineering and building world class UI to build AI agents that understand the constraints of embedded, performance-critical systems and operate effectively within them. This is a role for engineers who think in terms of autonomous systems, multi-step reasoning, and tool-use architectures — and who want to fundamentally reshape how a streaming platform is built, maintained, and evolved.
Job Responsibility
Design, build, and deploy agentic AI systems that autonomously generate, test, and optimize BrightScript/TypeScript code and UI experiences for the FRAME engine
Architect multi-agent workflows (planning, tool-use, retrieval, execution, validation) that accelerate development and reduce manual engineering effort across the team
Develop AI-powered automation that understands the constraints of embedded C++ environments and produces performance-safe, memory-efficient outputs
Build and maintain evaluation frameworks to measure agent reliability, accuracy, and performance in production-critical contexts
Collaborate with cross-functional teams (firmware, UI, product) to identify high-impact opportunities for AI-driven automation and intelligent tooling
Stay at the forefront of agentic AI research — including LLM orchestration, RAG, function calling, and autonomous code generation — and bring those advances into our platform
Mentor engineers across the team on AI-first development practices and help establish best practices for human-agent collaboration
Requirements
Proven experience building agentic AI systems that generate, optimize, and deliver scalable applications in production environments
Strong software engineering foundation with a track record of shipping reliable, performant systems at scale
Deep familiarity with modern LLM orchestration tools, prompt engineering techniques, and AI/ML frameworks
Experience with retrieval-augmented generation (RAG), function/tool calling, and evaluation-driven development for AI agents
A builder's mentality — you don't just use AI tools, you create autonomous systems that multiply the impact of entire teams
Proficiency in TypeScript (or similar languages) and Python for agent development, scripting, and pipeline automation
A software engineer's instinct for reliability, testability, and clean architecture — applied to the unique challenges of non-deterministic AI systems
Excellent technical communication, root cause analysis abilities, and a proactive mindset with passion for fast iteration
What we offer
Global access to mental health and financial wellness support and resources
Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs