Remote Position
[Remote] AI Integration Engineer
🌍 Remote · United States
💼 Full-time
Note: The job is a remote job and is open to candidates in USA. eTeam is seeking an experienced software engineer to develop and deploy AI-powered enterprise solutions. The role focuses on building AI agents, RAG pipelines, intelligent document processing applications, and scalable Java/Python microservices, while supporting architecture, integration, optimization, testing, and production deployment.
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
Skills
- 5 – 6 years Development experience in Java applications
- 1 year strong experience in AI app development
- Google ADK, Google Doc AI
- Lang Graph, Lang Chain
- RAG
- Java/Python, Spring AI, Mongo, Hibernate, Microservices
- 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
- 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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