The client is looking for a
Senior Java AI Developer to develop enterprise-scale Generative AI applications. The ideal candidate will possess strong Java backend expertise along with hands-on experience building
Retrieval-Augmented Generation (RAG) solutions and integrating enterprise applications with Large Language Models.
Required Skills
Preferred Skills
Responsibilities
Nice to Have:
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Senior Java AI Developer to develop enterprise-scale Generative AI applications. The ideal candidate will possess strong Java backend expertise along with hands-on experience building
Retrieval-Augmented Generation (RAG) solutions and integrating enterprise applications with Large Language Models.
Required Skills
- 10+ years of Java development experience
- Strong experience with Java 17+ and Spring Boot
- Hands-on experience building Retrieval-Augmented Generation (RAG) systems
- Experience with Spring AI, LangChain4j, or similar Java AI frameworks
- Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, or Llama models
- Strong knowledge of vector databases such as Pinecone, Milvus, Weaviate, FAISS, or ChromaDB
- Experience implementing semantic search and document retrieval pipelines
- Strong REST API and Microservices development experience
- Experience with Kafka or other messaging platforms
- Experience with Docker, Kubernetes, and OpenShift
- Experience with AWS, Azure, or Google Cloud Platform
- Strong SQL and NoSQL database experience
- Experience with Git, Jenkins, and CI/CD
- Experience with Agile development methodologies
Preferred Skills
- Banking or financial services experience
- Knowledge of AI agents and autonomous workflows
- Experience with Spring AI ecosystem
- Experience implementing enterprise security standards
- Experience with AI governance and monitoring
- Knowledge of prompt engineering and model evaluation
Responsibilities
- Design and develop enterprise Java-based AI applications
- Build scalable RAG architectures using Java and Spring Boot
- Integrate LLMs into enterprise applications
- Develop document ingestion, indexing, and retrieval pipelines
- Build secure APIs for AI services
- Optimize retrieval accuracy and response quality
- Collaborate with architects, ML engineers, and business teams
- Deploy AI services using containerized cloud platforms
- Ensure application performance, scalability, and compliance
- Provide technical leadership and mentor development teams
Nice to Have:
- Experience with LangGraph or AI Agent frameworks
- MCP (Model Context Protocol) implementation experience
- Knowledge Graph integration
- AI observability tools (LangSmith, Arize AI, TruLens)
- NVIDIA NIM or enterprise inference platforms
- Financial regulatory compliance experience
- Exposure to Agentic AI architectures
Donato Technologies Inc. is a trusted IT staffing, consulting, and software development partner headquartered in Dallas, Texas. We support clients across industries by understanding their unique business needs and delivering tailored technology and workforce solutions. Our focus is on connecting the right talent with the right opportunity-ensuring clients receive dependable, skilled professionals and candidates receive meaningful career growth and support. We work closely with small to mid-sized organizations to provide flexible, high-quality services that drive performance, innovation, and long-term success.
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