Google AI Full Stack Developer

Job Role : Google AI Full Stack Developer

Location : Hartford Connecticut. (Hybrid) (3days onsite)

Need W2 candidates. No C2C

Key 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).

Required Qualifications :

• 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 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

Preferred Qualifications :

Education :

Best Regards

Mohit Singh

Phone : 1-

Email : Key Skills

Abinitio,Administration And Accounting,Android,Bid Management,Inventory Management,Embedded C

Employment Type : Full Time

Experience : years

Vacancy : 1