Requirements

• Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or related technical field.
• 2-5 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 in AI systems in production.
• Ability to work independently, manage ambiguity, move quickly, and deliver incrementally.
• 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 with latency, cost, and hardware constraints.
• Familiarity with ML/DL frameworks like PyTorch or TensorFlow.
• Research or paper implementation experience, and practical application of emerging GenAI techniques.

What you'll be doing

• Architect, develop, and deploy AI agents and copilots integrated with internal Roku TV systems.
• Own end-to-end agentic systems including model selection, prompt design, retrieval strategies, backend services, and conversational interfaces.
• Design and implement single-agent and multi-agent orchestration patterns like handoffs and cooperative task execution.
• Build scalable RAG and context pipelines for high-quality grounding and alignment with evolving data and business logic.
• Implement tool-calling, function-calling, and MCP-style integrations for safe agent actions and interactions.
• Create reusable agent templates, modular components, and best practice patterns to accelerate team adoption.
• Establish evaluation, observability, and monitoring for conversation quality, success rates, latency, cost, and overall system performance.
• Build safeguards for production readiness such as testing pipelines, controlled rollouts, drift detection, and error prevention in workflows.
• Prototype rapidly, run experiments, and translate successful ideas into scalable software solutions.
• Collaborate closely with engineering, product, QA, infrastructure, and cross-functional teams to deliver business and customer impact.

Perks and benefits

• Inclusive and collaborative hybrid work environment with in-office work Monday through Thursday and flexible remote Fridays.
• Comprehensive compensation package with global access to mental health and financial wellness support.
• Local statutory and voluntary benefits including healthcare, life, accident, disability coverage, commuter and retirement plans (401(k)/pension).
• Support for time off according to local policies and personal needs.
• Reasonable accommodations in compliance with applicable laws throughout the hiring process.
• Culture emphasizing fast-paced innovation, collaboration, independent thinking, and pragmatic problem-solving.