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
Google Cloud Platform & 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
Experience
· 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 Google Cloud Platform services (Vertex AI preferred)
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