Key Responsibilities:
Agentic AI Development
• Design and develop LLM-based AI agents capable of reasoning, planning, and task execution
• Build and manage multi-agent orchestration workflows
• Enable agents to interact with enterprise systems (APIs, databases, tools)
Java & Backend Engineering
• Develop scalable backend applications using Java, Spring Boot, and Microservices
• Build REST APIs to support AI-driven workflows and integrations
• Ensure performance, scalability, and maintainability of services
GCP & GenAI Implementation
• Develop AI solutions using Vertex AI, Gemini, BigQuery, Cloud Run, and Pub/Sub
• Work with Vertex AI Agent Builder and Google ADK for agent development
LLM, RAG & Context Engineering
• Implement Retrieval-Augmented Generation (RAG) pipelines
• Build context-aware systems using vector search and embeddings
• Optimize prompts and workflows for performance and cost
MLOps & Deployment
• Deploy and monitor AI models and agents in production
• Implement CI/CD pipelines, logging, and observability
• Ensure reliability, safety, and guardrails for AI systems
Required Skills and Qualifications:
• 3–7 years of software development experience
• Strong hands on experience in Python
• 2+ years’ experience building and deploying real world agents in Production environment
• Strong hands-on experience in Java backend development (4+ years exp)
• Hands of experience in developing AI/ML or Generative AI projects
Core Technical Skills
• Hands on experience on Google ADK, MCP servers, agent to agent communication, agent orchestration.
• Java (4+), Spring Boot, Microservices
• REST APIs and distributed systems design
• Hands on experience on Python, LLMs, GenAI, and agent-based systems
• Hands on experience with GCP services (Vertex AI preferred)
