Senior Software Developer, Backend, Applied AI Agent Studio

Google Inc.; Southwestern Ontario; On-site; CAD 182,000 - 186,000; Full time

Benefits offered by this job

Equity

Job summary

Google is seeking a Senior Software Developer, Backend, Applied AI Agent Studio to strengthen the Cloud AI platform in Waterloo/Toronto. You will work on backend services powering enterprise-grade AI agents, shaping scale, reliability and security across global deployments.

The role emphasizes building secure APIs, data pipelines, and collaboration with model builders, while mentoring junior engineers and driving end-to-end development across the product lifecycle.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more of: speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
• 3 years of experience with ML infrastructure (deployment, evaluation, data processing, debugging).

Responsibilities

• Design and scale secure infrastructure on Google Cloud Platform powering the generative AI agent lifecycle.
• Build high‑performance APIs and backend services for AI agents enabling complex, open-ended dialogues.
• Maintain data processing pipelines and backend logic to serve enterprise customers at scale.
• Advocate backend security and reliability best practices for AI agents with high-profile customers.
• Lead backend technical goals and mentor teams to deliver new capabilities with startup agility.

Skills

Programming languages

Mentoring

Backend systems

AI/ML knowledge

Cloud backend

Education

Bachelor’s degree or equivalent

Master’s/PhD preferred

Job description

Senior Software Developer, Backend, Applied AI Agent Studio

Google, Waterloo, ON, Canada; Toronto, ON, Canada

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

X This posting is for a new vacancy.

Google utilizes AI tools to assist in assessing candidates in our hiring processes.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada.

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Developer Experience/Conversational Experience as a Service (CXAS) Console team is harnessing the power of Google's next generation agentic development platform to empower anyone to build enterprise grade agents. We work across the development lifecycle - Build, Evaluate, Deploy, Monitor and Optimize, extending the console, and re‑imagining workflows in an agentic era.

Our work is an intersection of AI centric workflows, in an evolving AI infused front‑end serving customers around the world at scale.

In this role, you will experience light bulb moments everyday, in understanding how AI can be used reliably in real world scenarios, with high profile customers, both in creating agents, and running them. You will be working in a smart, collaborative and goal oriented team.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting‑edge projects and shape the future of AI in a fast‑paced, collaborative, and impactful environment. Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

Canada: $182000 - $186000 (CAD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Design and scale secure infrastructure on Google Cloud Platform (GCP) that powers the entire generative AI agent lifecycle, empowering developers to seamlessly build, evaluate, deploy, monitor, and optimize agents.
• Bring strong system sensibility to design and implement high‑performance APIs and backend services that enable developers to build AI agents capable of complex, open‑ended dialogues and autonomous task completion.
• Maintain the complex data processing pipelines and backend logic required to reliably support AI‑centric workflows, ensuring the platform serves enterprise customers around the world at scale.
• Advocate back‑end security and reliability best practices, building systems capable of safely supporting AI agents interacting in complex, real‑world scenarios with high‑profile customers.
• Lead the back‑end technical goal, solve ambiguous technical issues, and mentor developing teams to rapidly deliver new 0-to-1 capabilities with startup agility while directly collaborating with model builders.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.