Description

• Architect, design, and develop scalable chat Virtual Agent frameworks using Google Vertex AI (Agent Engine, ADK).
• Build, customize, and optimize chatbots and conversational flows with Dialogflow CX/ES (intent detection, context management, slot filling, rich fulfillment).
• Apply NLP, LLM, and GenAI models on Vertex AI for advanced chatbot capabilities (summarization, entity extraction, response generation).
• Develop and maintain cloud-native chat Virtual Agent solutions using GCP services (CCAI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, BigQuery).
• Train, fine-tune, and deploy custom LLMs, transformer models, and RAG pipelines.
• Implement MLOps best practices (Vertex AI Pipelines, Docker, Kubernetes, CI/CD workflows).
• Develop REST APIs, gRPC, and JSON-based integrations for seamless system communication.

Required Qualifications

• 6+ years in software development (4+ years in NLP/NLU for chat).
• Advanced Python skills 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.
• Strong MLOps knowledge (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 conversational AI.

Soft Skills

• Excellent communication and collaboration.
• Strong ownership and end-to-end project delivery.
• Leadership in cross-functional environments.
• Team leading and management skills.

Key Skills

Education

Any Graduate