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Senior Java AI Developer (RAG/LLM)

Wilmington, DE, US • Posted 3 hours ago • Updated 3 hours ago

Contract W2

12 Months

On-site

Depends on Experience

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

Java Developer
Java Full Stack Developer
Artificial Intelligence
AI
RAG
Retrieval Augmented Generation
Agile
Amazon Web Services
Apache Kafka
Cloud Computing
Continuous Integration
Database
Docker
Financial Services
Generative Artificial Intelligence (AI)
Git
IT Management
Java
Jenkins
Kubernetes
LangChain
LangSmith
Large Language Models (LLMs)
Machine Learning (ML)
Mentorship
Messaging
Microservices
Microsoft Azure
NIM
NoSQL
Prompt Engineering
RESTful
Regulatory Compliance
SQL
Scalability
Semantic Search
Spring Framework
Vector Databases

Java Developer
Java Full Stack Developer
Artificial Intelligence
AI
RAG
Retrieval Augmented Generation
Agile
Amazon Web Services
Apache Kafka
Cloud Computing
Continuous Integration
Database
Docker
Financial Services
Generative Artificial Intelligence (AI)
Git
IT Management
Java
Jenkins
Kubernetes
LangChain
LangSmith
Large Language Models (LLMs)
Machine Learning (ML)
Mentorship
Messaging
Microservices
Microsoft Azure
NIM
NoSQL
Prompt Engineering
RESTful
Regulatory Compliance
SQL
Scalability
Semantic Search
Spring Framework
Vector Databases

Summary

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

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91097274
Position Id: 9049093
Posted 3 hours ago

Contact the job poster

Nikhil Gabriel

Techincal Recruiting Manager @ Donato Technologies Inc

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More jobs at Donato Technologies Inc in Wilmington, DE

Senior Java AI Developer (RAG/LLM)

Dice Job Match Score™

Job Details

Skills

Summary

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

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

Nikhil Gabriel

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