Google AI full stack developer - Hartford, CT

Job Role: Google AI Full Stack Developer
Location: Hartford, CT
Long Term Contract
Looking for W2 Candidates. No C2C.

Key Responsibilities:

• Design and Develop Advanced Google AI Conversations.
• Build and maintain dialog flows using Google Dialog flow CX, Google Vertex AI, or similar Google conversational platforms, with strong focus on contextual intent fulfilment.
• 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).

Required Qualifications:

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

Preferred Qualifications:

• 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.

Best Regards:

Bindu M
Phone:
Email:

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