Responsibilities
- Architect, develop, and deploy AI agents and copilots for Roku TV use cases while integrating internal systems, tools, and services.
- Own agentic systems end to end, including model selection, prompt and context design, retrieval strategies, backend services, and conversational interfaces.
- Design single-agent and multi-agent orchestration patterns involving handoffs, delegation, and cooperative task execution.
- Build scalable RAG and context pipelines that ground AI systems in evolving data sources and business logic.
- Implement tool-calling, function-calling, and MCP-style integrations that allow agents to safely interact with surrounding systems.
- Create reusable agent templates, modular components, and paved-path patterns for adoption across teams and use cases.
- Establish evaluation, observability, and monitoring for conversation quality, task success, latency, cost, and system performance.
- Build testing pipelines, controlled rollouts, drift detection, and safeguards that improve production reliability and prevent error amplification.
- Prototype and experiment rapidly, then turn successful ideas into durable, scalable software solutions.
- Partner with engineering, product, QA, infrastructure, and cross-functional teams to deliver customer and business outcomes.
Requirements
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related technical field.
- At least two years of experience in software engineering, AI/ML engineering, backend development, or adjacent domains.
- Strong proficiency in Python and experience with C/C++ or another systems language.
- Hands-on experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration.
- Experience building and maintaining RAG pipelines, agent frameworks, MCP servers or equivalent function-calling architectures, and conversational interfaces.
- Familiarity with cloud platforms, REST APIs, containerization, and modern deployment environments.
- Experience with observability, evaluation, experimentation, and feedback loops for AI systems in production.
- Experience with multi-agent frameworks or orchestration systems such as LangChain, AutoGen, or Semantic Kernel is preferred.
- Experience with video, audio, TV, or edge-device environments is preferred.
- Familiarity with PyTorch or TensorFlow is preferred.
- Research experience, paper implementation experience, or practical application of emerging generative AI techniques is preferred.
- Strong communication, independent execution, ambiguity management, engineering judgment, and collaboration skills.
Benefits
- Hybrid work with in-office work Monday through Thursday and flexible remote work on Fridays, subject to role and office policies.
- Healthcare benefits may include medical, dental, and vision coverage, plus life, accident, disability, commuter, and retirement options.
- Global mental health and financial wellness support and resources.
- Paid time off in accordance with local leave policies and personal needs.
Categories
About Roku
With the #1 platform for streaming television in the U.S., Roku wants to revolutionize the way the world watches TV. Our Roku-branded TVs, Roku TV models, Smart Home system, streaming players, audio equipment, and the purpose-built operating system that powers it all can turn any home into a home theater, with seamless integration of hardware and software. Our commitment to our users extends to our brand studio, which creates innovative Roku Originals exclusively for The Roku Channel, a free channel that reaches approximately 80 million households in the U.S. and Mexico. Join us and you'll have the chance to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. Be a part of shaping the future of streaming at weareroku.com.