Length: Currently 12 months (potential for ongoing renewals)
Location: Hybrid - Remote + 50% Onsite in Albany, NY
Client is seeking two experienced Advanced Cloud & Generative AI Developers to join a team supporting and enhancing conversational AI solutions.
These positions are expected to be one-year engagements with the potential for ongoing renewals.
Team members will work across multiple initiatives, supporting existing chatbot and virtual agent applications while also developing new AI-driven solutions.
The ideal candidate will have strong expertise in Google Cloud Platform (GCP), conversational AI development, generative AI technologies, and full-stack application development using Python and JavaScript.
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.
Requirements:
Bachelor’s degree.
5+ years related experience.
2+ years of hands-on experience with Google Cloud Platform (GCP).
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.