Generative AI Developer
pb consultingDayton (OH)
Generative AI Developer
Posted 7 days ago
pb consultingDayton (OH)
SENIORITY
Lead
About the role
Roles and Responsibilities:
Design, develop, and implement enterprise-grade applications leveraging Generative AI and Large Language Models (LLMs).Build scalable backend services and microservices using Java and Spring Boot.
Integrate Azure OpenAI and Azure AI services into enterprise applications.
Develop and maintain RESTful APIs and services to support AI-powered business applications.
Implement LLM-based solutions, including prompt engineering, retrieval-augmented generation (RAG), and AI-driven workflows.
Utilize frameworks such as LangChain and LangGraph to develop intelligent applications and orchestrate AI workflows.
Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions.
Develop, test, troubleshoot, and optimize AI-enabled applications for performance, scalability, and reliability.
Deploy and maintain applications within the Microsoft Azure cloud ecosystem.
Follow software engineering best practices, including CI/CD, code quality, security, and application monitoring.
Stay updated with emerging Generative AI technologies, frameworks, and cloud-based AI capabilities.
Required Qualifications:
Strong hands-on experience in Java, Spring Boot, Microservices, and REST API development.
Practical experience in Machine Learning, including developing or implementing ML-based applications or solutions.
Experience with Generative AI, Large Language Models (LLMs), and AI application development.
Hands-on experience with Azure OpenAI, Azure AI services, and Microsoft Azure cloud technologies.
Strong understanding of application architecture, API integration, and distributed systems.
Experience developing, deploying, and maintaining cloud-based applications.
Ability to integrate AI capabilities into existing enterprise applications.
Strong problem-solving, analytical, and communication skills.
Preferred Qualifications:
Hands-on experience developing Generative AI applications using Azure OpenAI and the Azure cloud ecosystem.
Strong experience with LangChain and LangGraph frameworks.
Experience implementing Retrieval-Augmented Generation (RAG) solutions.
Knowledge of prompt engineering, embeddings, vector databases, and semantic search.
Experience with LLM integration, orchestration, and AI-powered application workflows.
Experience deploying and managing applications on Microsoft Azure.
Familiarity with Azure AI Search, Azure Machine Learning, and related Azure AI services.
Knowledge of containerization, CI/CD pipelines, and cloud-native application development.
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.