Role : Java Fullstack with python and Agentic AI
Location : Irving (Tx) office (Primary)/ Chalotte (Secondary)
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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