Sr. Java Technical Lead with AI App Dev

Shrive Technologies LLC; Charlotte (NC); On-site; USD 140,000 - 190,000; Full time

Job summary

Shrive Technologies LLC in Charlotte, NC seeks an experienced software engineer with 8-9 years in Java enterprise applications and 1-2 years in AI/generative AI. You will design, develop, and deploy AI-powered solutions using LLMs, RAG, and agent-based frameworks.

Key responsibilities include building microservices with Java/Python, integrating AI services, and mentoring junior developers while ensuring security and governance across enterprise systems.

Qualifications

• 8-9 years of experience in Java-based enterprise application development.
• 1-2 years hands-on experience in AI and Generative AI development.
• Experience designing, developing, and deploying AI-powered solutions using LLMs, RAG, and agent-based frameworks.
• Strong background in building scalable microservices using Java/Python, Spring AI, MongoDB, and cloud-native architectures.

Responsibilities

• Design and develop AI-powered applications using LLMs, RAG, and agentic frameworks.
• Build and integrate AI agents using Google ADK, LangGraph, and LangChain.
• Develop intelligent document processing solutions using Google Document AI.
• Implement Retrieval-Augmented Generation (RAG) pipelines for knowledge management.
• Design and develop RESTful microservices using Java, Spring Boot, and Spring AI.
• Integrate AI services with enterprise applications and backend systems.
• Design databases and data models using MongoDB and Hibernate/JPA.
• Optimize AI application performance, scalability, and reliability.
• Collaborate with stakeholders to translate requirements into solutions.
• Perform code reviews, testing, deployment, and production support.
• Ensure adherence to software engineering best practices, security standards, and AI governance.
• Mentor junior developers and contribute to AI solution architecture.

Skills

Java

Python

Generative AI

LLMs

RAG

Spring AI

Spring Boot

MongoDB

Hibernate/JPA

REST APIs

Google ADK

LangChain

LangGraph

Microservices

Tools

Google ADK

LangGraph

LangChain

Google Document AI

Job description

Job Summary Experienced software engineer with 8-9 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.

Key Responsibilities

• Design and develop AI-powered applications using LLMs, RAG, and agentic frameworks.
• Build and integrate AI agents using Google ADK, LangGraph, and LangChain.
• Develop intelligent document processing solutions using Google Document AI.
• Implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge management.
• Design and develop RESTful microservices using Java, Spring Boot, and Spring AI.
• Integrate AI services with enterprise applications and backend systems.
• Design databases and data models using MongoDB and Hibernate/JPA.
• Optimize AI application performance, scalability, and reliability.
• Work closely with business stakeholders to identify AI use cases and translate requirements into solutions.
• Perform code reviews, testing, deployment, and production support.
• Ensure adherence to software engineering best practices, security standards, and AI governance guidelines.
• Mentor junior developers and contribute to AI solution architecture.

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