Senior Agentic AI Engineer: Embedded UI & Automation

Roku, Inc.

Cambridge

Hybrid

GBP 104,000 - 141,000

Full time

12 days ago

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Benefits offered by this job

Hybrid work model
Global benefits

Job summary

Roku's DMTE team seeks a Senior Agentic AI Engineer to embed autonomous AI capabilities into Roku's platform, designing agentic systems that reason, plan, and act across development pipelines—from auto-generating themed experiences to optimizing rendering workflows.

You will apply strong software engineering practices to build reliable, scalable AI-enabled solutions for embedded environments, collaborating with firmware, UI, and product teams to deliver high-performance experiences.

Qualifications

  • Proven experience building agentic AI systems in production environments.
  • Strong software engineering foundation with reliable, scalable systems.
  • Deep familiarity with LLM orchestration tools and AI/ML frameworks.
  • Experience with retrieval-augmented generation (RAG) and function calling.
  • Builder's mindset with emphasis on human–agent collaboration.

Responsibilities

  • Apply software engineering principles to design, build, and ship reliable systems at scale.
  • Maintain clean architecture, testing, and code reviews for reliability.
  • Design and deploy agentic AI systems that generate, test, and optimize BrightScript/TypeScript code and UI experiences.
  • Architect multi-agent workflows to accelerate development across the team.
  • Collaborate with firmware, UI, and product teams to identify AI-driven opportunities.

Skills

Agentic AI systems
LLM orchestration
RAG
TypeScript
Python
Software engineering
Code quality
Technical communication

Tools

AI toolchains

Job description

Roku's DMTE team seeks a Senior Agentic AI Engineer to embed autonomous AI capabilities into Roku's platform, designing agentic systems that reason, plan, and act across development pipelines—from auto-generating themed experiences to optimizing rendering workflows.

You will apply strong software engineering practices to build reliable, scalable AI-enabled solutions for embedded environments, collaborating with firmware, UI, and product teams to deliver high-performance experiences.

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