AI Engineer (LLM | RAG | Azure AI)

Our client, a IT Services and Consulting company, is looking for I Engineer (LLM | RAG | Azure AI) for their Middletown, NJ/Dallas, TX/Atlanta, GA location.

Responsibilities:

Design, develop, and integrate Gen AI-powered applications using large language models and related AI services Build solutions involving prompt engineering, retrieval-augmented generation, embeddings, vector search, and AI agents Develop APIs, services, and application components that connect Gen AI capabilities to business workflows Work with structured and unstructured data to support knowledge retrieval, summarization, classification, and content generation use cases Evaluate model performance, response quality, hallucination risk, and reliability across different scenarios Collaborate with product, data, engineering, and architecture teams to deliver scalable AI solutions Implement responsible AI practices including security, privacy, monitoring, explainability, and governance considerations Support deployment and release processes using tools such as Azure DevOps, Git, CI/CD pipelines, and cloud environments Create documentation, reusable patterns, and technical guidance for Gen AI solution development Stay current with emerging Gen AI frameworks, model capabilities, and best practices

Requirements:

5-10 years in Software Engineering, Machine Learning, AI Engineering, or Data Engineering. 3+ years of hands-on experience building and deploying Generative AI/LLM applications. Experience delivering enterprise-scale AI solutions in production environments. 3+ years of software engineering, data engineering, machine learning, or AI application development experience Hands-on experience building applications with large language models Experience with prompt engineering, RAG architectures, embeddings, and vector databases We are seeking a Gen AI Engineer to design, build, and deploy generative AI solutions that support enterprise applications, automation, knowledge discovery, and intelligent user experiences. The ideal candidate will have hands-on experience working with large language models, prompt engineering, retrieval-augmented generation, model evaluation, and application integration. Experience with Azure DevOps is helpful for supporting deployments, CI/CD workflows, and collaboration with engineering teams, though this role is not primarily DevOps-focused. Proficiency in Python and familiarity with APIs, microservices, or backend development Experience working with cloud-based AI services, preferably on Azure Understanding of model evaluation, testing, monitoring, and quality improvement techniques Familiarity with secure development practices and enterprise application integration Strong problem-solving, communication, and collaboration skills Experience with Azure Open AI Service, Azure AI Search, Azure Machine Learning, or related Azure AI services Working knowledge of Azure DevOps, including repositories, boards, pipelines, and release workflows Experience with Agentic-LLM solutions using Lang Chain, Lang Graph, or similar tools Experience with vector databases or search platforms such as Azure AI Search Familiarity with containerization, CI/CD, and deployment automation Experience supporting enterprise-scale AI solutions, chatbot platforms, knowledge assistants, or intelligent automation use case Years of Experience: 10.00 Years of Experience Skills:

Category Name Required Importance Technical Skills I Yes 1 Technical Skills Software Engineering Yes 1

Why Should You Apply?

Health Benefits Referral Program Excellent growth and advancement opportunities