AI Engineer - NJ/ Dallas/ Atlanta

Job Description

""We are seeking a GenAI 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.

Key Responsibilities

• Design, develop, and integrate GenAI-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 GenAI 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 GenAI solution development

• Stay current with emerging GenAI frameworks, model capabilities, and best practices

Required Qualifications

• 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

• 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

Preferred Qualifications

• Experience with Azure OpenAI 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 LangChain, LangGraph, 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"""