Conversational AI / Generative AI Engineer with Google Cloud expertise.
Why This Role Stands Out
Leverage your expertise in Conversational AI, Generative AI, and Google Cloud to design and implement cutting-edge solutions in a hybrid environment that fosters innovation and collaboration. If you're a mid-senior engineer with a passion for building intelligent applications and a knack for prompt engineering, this role offers exciting growth opportunities. You'll thrive here by contributing to impactful projects and developing your skills within a forward-thinking company.
Quick Overview
Job Description
Key Responsibilities:
- Design, develop, enhance, and maintain chatbot and virtual agent solutions built on Google Cloud Platform.
- Build and support conversational AI applications using Google Dialogflow and related technologies.
- Develop and implement Generative AI agents and solutions leveraging modern AI frameworks and services.
- Design and implement Retrieval-Augmented Generation (RAG) architectures and prompt engineering strategies.
- Develop and maintain backend services and APIs using Python and JavaScript.
- Support existing applications, troubleshoot issues, and implement enhancements.
- Collaborate with business stakeholders and technical teams to gather requirements and deliver solutions.
- Maintain high-quality, readable, and well-documented code.
- Participate in code reviews, testing, deployment, and continuous improvement activities.
- Contribute to infrastructure automation and CI/CD processes using Terraform and Git-based repositories.
Required Qualifications:
- Bachelor s degree.
- Minimum 5 years related experience.
- Minimum 2 years of hands-on experience with Google Cloud Platform (Google Cloud Platform).
- Minimum 2 years of experience developing chatbots or conversational AI solutions using Google Dialogflow or similar technologies.
- Experience building Generative AI applications and AI agents.
- Strong understanding of Retrieval-Augmented Generation (RAG) concepts and implementations.
- Experience with prompt engineering and prompt optimization techniques.
- Proficiency in Python application development.
- Proficiency in JavaScript development for both frontend and backend applications.
- Experience using source control systems such as Git, GitHub, or GitLab.
- Experience developing and maintaining infrastructure-as-code solutions using Terraform.
- Ability to write and maintain clean, scalable, and maintainable code.
- Strong verbal and written communication skills.
- Experience working directly with business stakeholders and customers.
Preferred Qualifications:
- Google Cloud certifications.
- Experience with Dialogflow CX, Conversational Agents, and Playbooks.
- Experience working with various Generative AI platforms and services.
- Machine Learning or AI model development experience.
- Experience with Looker reporting and LookML.
- Experience designing and deploying cloud-native applications.
- Familiarity with Agile development methodologies and DevOps practices.
Technical Skills:
- Cloud Platforms:Google Cloud Platform (Google Cloud Platform)
- Conversational AI:Dialogflow, Conversational Agents
- Generative AI:AI Agents, RAG, Prompt Engineering
- Programming Languages:Python, JavaScript
- Infrastructure as Code:Terraform
- Version Control:Git, GitHub, GitLab
- Analytics & Reporting:Looker, LookML
- Development Practices:CI/CD, Code Reviews, Testing, Documentation
Soft Skills:
- Excellent communication and collaboration skills.
- Strong problem-solving and analytical abilities.
- Ability to work independently and as part of a cross-functional team.
- Customer-focused mindset with experience engaging directly with stakeholders.
- Ability to adapt quickly to new technologies and evolving project requirements.
Skills
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