GenAI Developer Job Cincinnati area,Ohio USA,Software Development

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

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), Lang Chain, Lang Graph, 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 Lang Chain and Lang Graph.
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 & LLMs

Generative AI Application Development
Large Language Models (LLMs)
Azure OpenAI Services
Prompt Engineering
Retrieval‑Augmented Generation (RAG)
AI Agents
AI Workflow Orchestration

AI Frameworks

Lang Chain
Lang Graph
Semantic Search
Vector Databases

Backend Development

Java
Spring Boot
REST APIs
Microservices Architecture
API Integration

Cloud Technologies

Microsoft Azure
Azure OpenAI
Azure AI Services
Azure Functions
Azure App Services
Azure Storage
Azure Kubernetes Service (AKS)

Dev Ops & Deployment

Docker
Kubernetes
CI/CD Pipelines
Git
Azure Dev Ops

Machine Learning (Preferred)

Machine Learning Model Development
Model Deployment
MLOps 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 Skills

Strong 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.

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