What you'll be doing

• Architect, develop, and deploy AI agents and copilots for Roku TV use cases, integrating them with internal systems, tools, and services.
• Own end-to-end agentic systems from concept to production, including model selection, prompt and context design, retrieval strategies, backend services, and conversational interfaces.
• Design and implement single-agent and multi-agent orchestration patterns, including handoffs, delegation, and cooperative task execution.
• Build scalable RAG and context pipelines that provide high-quality grounding for AI systems and keep them aligned with evolving data sources and business logic.
• Implement tool-calling, function-calling, and MCP-style integrations so agents can safely take actions and interact with the systems around them.
• Create reusable agent templates, modular components, and paved-path patterns that accelerate adoption across teams and use cases.
• Establish strong evaluation, observability, and monitoring for conversation quality, task success rate, latency, cost, and overall system performance.
• Build safeguards that improve production readiness and reliability, including testing pipelines, controlled rollouts, drift detection, and mechanisms that prevent error amplification in multi-step workflows.
• Prototype quickly, run experiments, and translate successful ideas into durable, scalable software solutions.
• Partner closely with engineering, product, QA, infrastructure, and cross-functional teams to deliver meaningful business and customer outcomes.

Requirements

• Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related technical field.
• 2+ years of experience in software engineering, AI/ML engineering, backend development, or adjacent domains, with strong software engineering fundamentals and the ability to build production-grade systems.
• Strong proficiency in Python, plus 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 patterns.
• 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.
• Ability to work independently, manage ambiguity, move quickly, and deliver incrementally in a fast-paced environment.
• Excellent communication skills, sound engineering judgment, and a collaborative working style.

Nice to haves

• Experience with multi-agent frameworks or orchestration systems such as LangChain, AutoGen, or Semantic Kernel.
• Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter.
• Familiarity with ML/DL frameworks such as PyTorch or TensorFlow.
• Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems.

Perks and benefits

• Hybrid work environment with in-office work Monday through Thursday and flexible remote work on Fridays, depending on role and location.
• Comprehensive benefits package including global mental health and financial wellness support.
• Local benefits may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension), subject to location.
• Support for taking time off according to local leave policies and personal needs.
• Reasonable accommodations and adjustments during the hiring process as required by law.
• A collaborative, fast-paced culture that values independent thinkers, problem-solvers, and teamwork with a focus on delivering real solutions to customers.