Skip to main content
David Careers

Senior GenAI Developer (Java, Spring Boot & Azure AI)

Posted 7 days ago

purple drive technologiesDayton (OH)
Software DevelopersCustom Computer Programming Services

SENIORITY

Lead

Apply (opens in a new tab)

About the role

Senior GenAI Developer (Java, Spring Boot & Azure AI) We are seeking a highly skilled GenAI Application Developer with strong expertise in Java, Spring Boot, Microservices, APIs, and cloud-native application development. The ideal candidate should have hands-on experience building Generative AI-powered applications using Azure OpenAI Services and the Azure Cloud ecosystem. The role involves designing, developing, and deploying enterprise-grade AI applications leveraging Large Language Models (LLMs), LangChain, LangGraph, Azure AI Services, and modern cloud-native architectures. Candidates with Machine Learning experience and a strong software engineering background will be highly preferred.
Key Responsibilities: Design, develop, and maintain enterprise-grade applications using Java, Spring Boot, REST APIs, and Microservices architecture. Build and deploy Generative AI applications leveraging Azure OpenAI Services and Azure AI ecosystem. Develop AI-powered solutions using Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and agent-based workflows. Design and implement AI orchestration frameworks using LangChain and LangGraph. Integrate AI services with enterprise applications through APIs and Microservices. Develop scalable cloud-native solutions on Microsoft Azure. Collaborate with business stakeholders, architects, and engineering teams to define AI solution strategies. Design and implement secure, scalable, and high-performance backend systems. Build and maintain CI/CD pipelines for AI and cloud-native applications. Monitor application performance and optimize AI workflows for scalability and reliability. Participate in Agile development processes, code reviews, and technical design discussions. Support deployment, troubleshooting, and production maintenance of AI-powered applications.
Required Skills:
  • Generative AI & LLMsGenerative AI Application Development
  • Large Language Models (LLMs)
  • Azure OpenAI Services
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)AI AgentsAI Workflow OrchestrationAI Frameworks
  • LangChainLangGraphSemantic SearchVector Databases
  • Backend Development
  • JavaSpring BootREST APIsMicroservices ArchitectureAPI Integration
  • Cloud Technologies
  • Microsoft AzureAzure OpenAIAzure AI ServicesAzure Functions
  • Azure App ServicesAzure Storage
  • Azure Kubernetes Service (AKS)
  • DevOps & Deployment
  • DockerKubernetesCI/CD Pipelines
  • GitAzure DevOpsMachine Learning (Preferred)
  • Machine Learning Model Development
  • Model DeploymentMLOps Concepts
  • Data Processing and Analytics
Preferred Qualifications: Experience building production-grade GenAI applications. Hands-on experience with Azure OpenAI and Azure AI Foundry. Exposure to Vector Databases such as Pinecone, ChromaDB, FAISS, or Azure AI Search. Experience with Agentic AI and multi-agent workflows. Strong understanding of cloud-native application design patterns. Experience working in Agile/Scrum environments. Soft SkillsStrong problem-solving and analytical abilities. Excellent communication and collaboration skills. Ability to quickly learn and adapt to emerging AI technologies. Strong ownership and accountability mindset.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this