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Google SDK / AI Application SME

Laiba Technologies LLCCharlotte, NC🇺🇸United StatesPosted Sep 28, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Charlotte, NC, United States
Posted
2 days ago
MicroservicesMongoDBSpringSpring BootGenerative AIHibernateJavaLLMPython

Job Description

Experienced software engineer with 5-6 years of expertise in Java-based enterprise application development and 1-2 years of hands-on experience in AI and Generative AI application development. Skilled in designing, developing, and deploying AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agent-based frameworks, and document processing technologies. Strong background in building scalable microservices-based applications using Java/Python, Spring AI, MongoDB, and cloud-native architectures.
Skill Requirements
 
  • Strong experience in developing and maintaining enterprise-grade applications using Java and/or Python.
  • Hands-on experience in building AI and Generative AI applications for business use cases.
  • Proficiency in developing AI agents using Google Agent Development Kit (ADK).
  • Experience with Google Document AI for intelligent document processing and data extraction.
  • Strong knowledge of LangChain for developing LLM-powered workflows and applications.
  • Experience using LangGraph to design and orchestrate multi-agent and agentic AI solutions.
  • Expertise in implementing Retrieval-Augmented Generation (RAG) architectures and knowledge retrieval pipelines.
  • Experience integrating Large Language Models (LLMs) into enterprise applications.
  • Strong knowledge of Spring AI and Spring Boot for AI-enabled application development.
  • Hands-on experience in designing and developing Microservices-based architectures.
  • Proficiency in MongoDB for data storage and retrieval.
  • Experience with Hibernate/JPA for database persistence and ORM implementation.
  • Strong understanding of RESTful API design, development, and integration.
  • Experience in application performance optimization, debugging, and troubleshooting.
  • Knowledge of software development best practices, including testing, code reviews, and CI/CD processes.
  • Ability to collaborate with cross-functional teams and translate business requirements into technical solutions.
  • Strong problem-solving, analytical, and communication skills.

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