Google AI Full Stack Developer - Hartford, Connecticut.

QTech • Hartford, CT

4d • Hybrid

About The Position

We are seeking a skilled Google AI Full Stack Developer to join our team in Hartford, Connecticut. This hybrid role requires 3 days onsite and focuses on designing, developing, and maintaining advanced conversational AI solutions using Google technologies. You will be instrumental in building intelligent chatbots, integrating them with various platforms, and enhancing their conversational capabilities through cutting-edge AI and machine learning techniques. The ideal candidate will have a strong background in software engineering, hands-on experience with conversational AI platforms, and a passion for innovation in the AI space.

Requirements

• 3+ years software engineering experience delivering AI-enabled applications
• 2+ years hands-on chatbot development with Google Dialogflow CX, Vertex AI, or equivalent platforms (such as Amazon Lex, LivePerson, Kore.ai, IBM Watson)
• 2+ years applying NLP and training data best practices in production conversational AI settings
• 2+ years of experience with enterprise-scale AI/chatbot frameworks, including integration with backend data and API services
• 1+ years of experience with retrieval-augmented generation techniques (RAG) or integrating external knowledge sources into LLM-driven chatbots
• 1+ years of experience in CICD, Git, unit testing, and source code management workflows
• 1+ years familiarity with cloud development/deployment principles, ideally Google Cloud Platform (GCP)
• 1+ years working in Agile environments, with practical knowledge of DevOps principles and end-to-end software lifecycle
• Bachelor’s degree in computer science, Engineering, or related field, or equivalent experience required.

Nice To Haves

• Backend (server-side) development experience in Java, Node.js, or Python
• Multi-language proficiency, with experience in Javascript/Typescript
• Prior work with Google Cloud Speech-to-Text, Vertex AI Search, or similar voice and information retrieval technologies
• Familiarity with SSML (Speech Synthesis Markup Language) tagging for TTS refinement
• Experience integrating unstructured data sources (e.g., document searching using semantic embeddings) with conversational agents

Responsibilities

• Design and Develop Advanced Google AI Conversations: Build and maintain dialog flows using Google Dialogflow CX, Google Vertex AI, or similar Google conversational platforms, with strong focus on contextual intent fulfillment.
• Implement Retrieval Augmented Generation (RAG): Integrate external knowledge bases and enterprise APIs with AI models to enable dynamic, contextually relevant, and reference-backed answers using RAG approaches.
• Apply Best Practices in Conversational AI: Employ robust coding standards, NLP best practices, and reusable design patterns to ensure consistent and scalable solutions.
• Collaborate Across Functions: Work closely with UI/UX designers, backend teams, and data engineers to define and implement APIs, data retrieval pipelines, and conversational triggers.
• End-to-End Chatbot Lifecycle: Lead the design, development, testing, deployment, and ongoing maintenance of conversational agents, optimizing for user engagement and satisfaction.
• Integrate with Multiple Platforms: Ensure seamless interactions across digital channels (web, mobile, voice), integrating with Google Cloud and enterprise APIs as required.
• Enhance Conversational Intelligence: Use Google’s advanced NLP, speech-to-text, and machine learning capabilities, and Large Language Models (LLMs) to refine accuracy, dialog flow, and natural language understanding.
• Continuous Learning and Innovation: Stay abreast of emerging generative AI, conversational technologies, and industry best practices, supporting business development through technology-driven innovation.
• Speech Technologies: Tune and enhance speech recognition and TTS models leveraging Google Cloud Speech-to-Text and related technologies, including advanced tagging (e.g., SSML).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level