Software Engineer, Agentic AI in Cambridge

Software Engineer, Agentic AI in Cambridge

Cambridge Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
Roku

At a Glance

  • Tasks: Design and build AI agents for Roku TV, driving automation and enhancing user experiences.
  • Company: Join Roku, the leading TV streaming platform transforming how the world watches TV.
  • Benefits: Enjoy competitive pay, mental health support, flexible work options, and career growth opportunities.
  • Other info: Work in an inclusive environment that values innovation, teamwork, and personal development.
  • Why this job: Be part of a fast-paced team making a real impact in the AI and streaming industry.
  • Qualifications: Experience in software engineering and AI/ML, with strong Python skills and a collaborative mindset.

The predicted salary is between 63000 - 77000 £ per year.

Teamwork makes the stream work. Roku is changing how the world watches TV. Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

What does the team work on? Roku TV is where embedded systems, media experiences, and intelligent software come together at massive scale. The Roku TV organization builds technology used on millions of TVs globally, and the team is already applying AI to demanding TV problems in resource-constrained environments where quality, performance, and reliability matter. As part of this team, you will help define how agentic AI systems are designed, built, and operated for Roku TV use cases. This is a hands-on engineering role for someone who treats AI agent design as an engineering discipline: architecting durable systems, grounding them in the right context, integrating them with tools and services, and making them reliable in production.

What is the role? We are looking for a hands-on, systems-oriented Agentic AI Engineer to design, build, and maintain intelligent agents and copilots that drive automation, accelerate workflows, and unlock new product and platform capabilities for Roku TV. You will own the full lifecycle of agent development—from prototyping and architecture through orchestration, evaluation, deployment, observability, and continuous improvement. You will contribute directly to Roku’s AI strategy by engineering reusable components, optimizing agent workflows, and ensuring strong real-world performance in production environments.

How will I use AI at Roku? At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We’re looking for curious, adaptable builders who can show how they’ve used AI or automation to move faster, raise the bar, and scale their impact.

We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.

What are the responsibilities of the role?

  • 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.

What experience would help someone be successful in the role at Roku?

  • 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 have:

  • 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.

What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.

What are some of the benefits? Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include 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. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

Accommodations: Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.

What should I know about Roku's culture? Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.

Software Engineer, Agentic AI in Cambridge employer: Roku

Roku is an excellent employer, offering a dynamic work environment in Cambridge that fosters collaboration and innovation. With a strong emphasis on work-life balance and comprehensive health benefits, employees are encouraged to grow their skills while contributing to the development of cutting-edge technology. The hybrid work model allows for flexibility, making it an attractive place for those seeking meaningful and rewarding employment.

Roku

Contact Details:

Roku Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer, Agentic AI in Cambridge

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Roku or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Roku.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Roku.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Roku that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Software Engineer, Agentic AI in Cambridge

AI Agent Design
Systems Engineering
Python Programming
C/C++ Programming
LLM-based Systems
Prompt Design
Agent Orchestration Patterns

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Roku.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Roku and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Roku

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Roku uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.