Description

Design and build enterprise-grade AI agents using Google Agent Development Kit (ADK) and Gemini models.

This role is on-site.

Responsibilities

• Develop AI applications and agentic workflows using Google ADK, Vertex AI, and Gemini models.
• Build multi-agent systems and orchestration frameworks for complex business logic and task execution.
• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search.
• Deploy cloud-native AI solutions on GCP with Docker, Kubernetes, and CI/CD pipelines.
• Integrate AI agents with enterprise REST APIs, databases, and third-party services.

Required Skills

• 5+ years of software engineering experience.
• 2+ years focused on Generative AI, Agentic AI, and Python development.
• Hands-on experience with Google Agent Development Kit (ADK) and Vertex AI.
• Strong knowledge of RAG, embeddings, and vector databases (Pinecone, Weaviate, Chroma, Milvus, or Vertex AI Vector Search).
• Experience with AI orchestration frameworks like LangChain, LangGraph, CrewAI, or AutoGen.
• Proficiency in GCP, Docker, Kubernetes, and CI/CD practices.
• Understanding of prompt engineering, model evaluation, and LLM optimization.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Banking and Financial Services domain experience.

Key Skills

Education

Bachelor's degree