AI engineer

About the Role: We seek an experienced developer to design, build, and deploy advanced conversational AI solutions on Google Cloud. You will leverage Vertex AI , CCAI, and Dialog Flow to create intelligent, scalable chatbots that enhance digital customer engagement. Key Responsibilities: · Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI , with proficiency in Vertex AI Agent Engine and Google Agent Development Kit (ADK). · Expertise in building, customizing, and optimizing chatbots and conversational flows with Dialogflow CX/ES, including implementation of advanced intent detection, context management, slot filling, and rich fulfillment. · Demonstrated ability to leverage state-of-the-art NLP, LLM, and GenAI models on Vertex AI to enhance chatbot capabilities, such as complex intent handling, summarization, entity extraction, and response generation. · Hands-on experience building and maintaining cloud-native chat Virtual Agent solutions using GCP services including CCAI, Vertex AI , Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery for real-time data processing, analytics, and reporting. · Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to advance chat Virtual Agent intelligence. · Solid understanding and practical application of MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines, Docker, Kubernetes, and CI/CD workflows. · Strong experience developing REST APIs, gRPC, and JSON-based communication for seamless system integration. Required Qualifications: · 6+ years in software development (4+ in NLP/NLU for chat). · Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch). · Proven success building conversational agents with Vertex AI and Dialogflow CX/ES. · Proficiency in GCP services and cloud-native architectures. · Solid MLOps understanding (Docker, Kubernetes, CI/CD, Git). · Experience with Agent Assist functionality is a plus. Preferred Qualifications: · Master’s/PhD in Computer Science, AI /ML, or related field. · GCP certifications (e.g., Google Cloud Certified Professional ML Engineer ). · Experience with GenAI frameworks (PaLM, Gemini). · Integration with CRM, knowledge bases, and live agent systems. · Knowledge of security and compliance in chat AI . Soft Skills: · Excellent communication and collaboration. · Strong ownership and end-to-end project delivery. · Leadership in cross-functional environments. · Team Leading and Management.