Google's software developers 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 developers 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 developer, 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 developers 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.
Customer support is undergoing a fundamental transformation, moving from manual processes to AI-driven, intelligent interactions. Our team is at the epicenter of this shift, building the critical "front door" that connects next- generation AI agents to millions of users. We are responsible for the cloud-based "last-mile" integrations that power seamless, intelligent conversations across all chat and voice surfaces. This is where the power of Generative AI directly meets the customer, and we are responsible for making that experience reliable, scalable, and intelligent.
In this role, you will contribute to the first-party development of our core integration platforms. You will define the future of customer interaction, being part of a team at the forefront of applied AI in a fast-paced, innovative environment.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The Canada base salary range for this full-time position is CAD 182,000-187,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Please note that the compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Drive the end-to-end development of our cloud-based communication systems integrations for AI agents. Serve as one of the team's key technical leaders, with the ability to dig deep into complex system design, performance, and reliability issues to guide the team to robust solutions.
- Define and deliver the technical designs for integrating our AI agents into the ecosystem of first-party and third-party chat and voice surfaces.
- Lead technical engagement and co-development efforts with strategic external partners, ensuring seamless integration of their technologies with our platform.
- Collaborate closely with Product Management, UX, and AI research teams to define requirements and deliver AI-powered customer support experience.
- Apply your domain expertise in telephony, chat or Generative AI to guide product direction and navigate complex technical trade-offs.
Qualifications
Minimum 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 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.
- Experience building or integrating with communication systems (e.g., telephony, WebRTC, chat) and AI agents.
- Experience with Generative AI, large language models (LLMs), or conversational AI systems, especially in the development of AI agents or agentic frameworks.
- Experience building highly available, low-latency, and scalable distributed systems for real-time communication.
- Proven track record leading complex, cross- functional projects and managing technical collaborations with external partners and vendors.