Google Advanced Cloud Generative AI Developer

Google Advanced Cloud Generative AI Developer

*** Approximately 1-year contracts with the potential for ongoing renewals

• Competitive Compensation
• Health, Dental, and Vision Benefits
• Group Life Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA) and Flexible Spending Account (FSA)
• Generous Paid Time Off and Holiday Package
• Professional Development Opportunities

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related discipline.
• Minimum five (5) years of professional experience developing enterprise cloud-based applications.
• Minimum two (2) years of hands‑on experience developing solutions within Google Cloud Platform (GCP).
• Minimum two (2) years of experience developing chatbot or conversational AI solutions using Google Dialogflow or similar technologies.
• Experience designing, developing, and implementing Generative AI applications, AI agents, and intelligent virtual assistants.
• Strong knowledge of Retrieval‑Augmented Generation (RAG) architecture, implementation strategies, and prompt engineering techniques.
• Experience integrating Large Language Models (LLMs) into enterprise applications.
• Strong proficiency developing backend services and APIs using Python.
• Experience designing and deploying cloud‑native applications within Google Cloud Platform.
• Experience developing and maintaining Infrastructure‑as‑Code (IaC) solutions using Terraform.
• Experience utilizing Git, Git Hub, Git Lab, or similar source control platforms.
• Experience supporting CI/CD pipelines, deployment automation, and modern Dev Ops practices.
• Experience producing clean, scalable, maintainable, and well‑documented code.
• Experience participating in code reviews, software testing, deployment, and continuous improvement activities.
• Experience supporting, troubleshooting, enhancing, and maintaining enterprise production applications.
• Experience collaborating directly with business stakeholders, customers, and cross‑functional technical teams to gather requirements and deliver technical solutions.
• Experience with Dialogflow CX, Conversational Agents, and Playbooks.
• Experience working with a variety of Generative AI platforms, frameworks, and cloud AI services.
• Experience with Machine Learning or AI model development.
• Experience developing analytics and reporting solutions using Looker and LookML.
• Familiarity with Agile software development methodologies and Dev Ops best practices.
• Excellent analytical, troubleshooting, and problem‑solving skills.
• Excellent verbal, written, and interpersonal communication skills.
• Ability to work independently and collaboratively within cross‑functional teams.
• Customer‑focused mindset with experience supporting business stakeholders and end users.
• Ability to quickly learn new technologies and adapt to evolving project requirements.

• Design, develop, enhance, and maintain enterprise chatbot and virtual agent solutions utilizing Google Cloud Platform (GCP).
• Build, implement, and support conversational AI applications using Google Dialogflow and related technologies.
• Develop and implement Generative AI agents and intelligent automation solutions utilizing modern AI frameworks and cloud services.
• Design and implement Retrieval‑Augmented Generation (RAG) architectures and prompt engineering strategies to improve AI response quality and performance.
• Support existing production applications by troubleshooting issues, implementing enhancements, and resolving technical defects.
• Collaborate with business stakeholders, customers, and technical teams to gather requirements and deliver innovative cloud‑based AI solutions.
• Develop clean, scalable, maintainable, and well‑documented application code following established development standards and best practices.
• Participate in code reviews, testing, deployment, and continuous improvement initiatives to ensure software quality and reliability.
• Develop and maintain infrastructure automation and CI/CD processes utilizing Terraform and Git‑based repositories.
• Contribute to the successful delivery of multiple concurrent conversational AI and cloud application initiatives while ensuring adherence to project timelines and quality standards.

UNIVERSAL Technologies, LLC is an Equal Opportunity Employer.