Description

You will architect and develop scalable chat Virtual Agent frameworks using Google Vertex AI.

This role is on-site.

Responsibilities

• Build and optimize chatbots using Dialogflow CX/ES, managing intent detection, context, and slot filling.
• Apply NLP, LLM, and GenAI models on Vertex AI for summarization, entity extraction, and response generation.
• Develop cloud-native solutions leveraging GCP services including CCAI, Pub/Sub, Cloud Functions, Cloud Run, and BigQuery.
• Train, fine-tune, and deploy custom LLMs, transformer models, and RAG pipelines.
• Implement MLOps best practices using Vertex AI Pipelines, Docker, Kubernetes, and CI/CD workflows.

Required Skills

• 6+ years in software development with 4+ years focused on NLP/NLU for chat applications.
• Advanced Python proficiency with ML/NLP libraries: Hugging Face, TensorFlow, and PyTorch.
• Proven experience building conversational agents using Vertex AI and Dialogflow CX/ES.
• Proficiency in GCP services and designing cloud-native architectures.
• Strong knowledge of MLOps, including Docker, Kubernetes, CI/CD, and Git.
• Experience developing REST APIs, gRPC, and JSON-based integrations.

Preferred Skills

• Experience with Agent Development Kit (ADK).

Key Skills

Education

Any Graduate