Conversational AI Agent Engineer - Google Agents

In this highly technical role, you will be a core contributor responsible for designing, building, testing, and deploying complex conversational flows, state machines, and integration logic for enterprise-grade Google Agents. Working closely with the Lead Agent Developer and cross-functional engineering squads, you will bridge the gap between Natural Language Understanding (NLU) platforms and backend web services. This position is ideal for an execution-focused developer with a deep curiosity for Large Language Models (LLMs), prompt engineering, and conversational automation frameworks.

Duration: 8-Month Contract

Core Technology Stack: Google Cloud Platform (GCP), Dialogflow CX, Python or Node.js, and Generative AI



Advantages
Bleeding-Edge Tech Portfolio: Work directly on next-generation Conversational AI solutions utilizing Dialogflow CX Generators, Playbooks, and advanced LLM orchestrations.

Enterprise Integration Scope: Gain high-value experience engineering production-grade webhook fulfillments that link virtual agents to massive backend CRMs and transactional databases.

Collaborative Innovation Environment: Partner tightly with veteran Lead Developers and Platform Architects within a structured cloud sandbox environment.

Multi-Channel Exposure: Expand your portfolio by developing, training, and optimizing NLU models deployed across both high-volume voice (IVR) and digital chat channels.



Responsibilities
Implementation & NLU Development: Build and maintain sophisticated conversational flows within Dialogflow CX, including creating intents, defining custom entities, designing state handlers, and configuring complex response fulfillment paths.

Fulfillment Integration: Develop, test, and debug secure fulfillment webhooks using Python or Node.js to integrate virtual agents with various internal/external RESTful APIs, CRMs, and database architectures.

Testing & QA Governance: Execute rigorous testing protocols—including unit testing, automated regression testing, and User Acceptance Testing (UAT)—to guarantee conversational accuracy, context retention, and system reliability.

Production Support & Optimization: Assist the Lead Developer in troubleshooting real-time production bugs, monitoring Agent performance metrics, and applying iterative prompt or NLU tuning based on analytical feedback loops.

Documentation & Compliance: Maintain clear, structured technical blueprints for conversational state-designs, API integration specifications, and deployment release notes. Adhere strictly to team standards for version control and cloud security practices.



Qualifications
Experience: Minimum 3+ years of professional software development experience, with at least 1+ years dedicated to building and deploying conversational AI systems (chatbots, advanced IVRs, or voice bots) for voice and chat platforms.

Programming Mastery: Practical, hands-on proficiency in Python or Node.js for building custom webhooks, manipulating JSON structures, and implementing serverless fulfillment backend logic.

NLU/NLP Architecture: Direct experience working with Dialogflow CX features (Generators, Playbooks, or similar NLU systems), including configuring, fine-tuning, and chaining complex state modules.

Generative AI Fluency: Solid conceptual and practical understanding of Large Language Models (LLMs), structural prompt engineering, few-shot learning, and response guardrails.

Cloud Infrastructure: Functional familiarity with the basic service architecture of Google Cloud Platform (GCP).

Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical industry training).

Nice-to-Have Skills & Assets
Direct hands-on development experience deploying solutions via Google Contact Center AI (CCAI).

Experience integrating virtual agents with telephony environments (ACD routing, telephony gateways).

Strong familiarity operating inside Agile/Scrum methodologies utilizing Git for version control.



Summary

If you are a tech-savvy software developer who combines the programmatic precision of backend engineering (Python/Node.js) with a passion for designing intuitive, LLM-backed user experiences in Dialogflow CX, this 8-month contract offers a premier stage for your talents. Bring your NLU expertise, webhook integration skills, and cloud curiosity to a top-tier automation squad today!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.

This posting is for existing and upcoming vacancies.