Java Fullstack

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

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