AI Engineer

Description

• Design, develop, test, and deploy AI-powered applications and services.

• Build and optimize LLM and generative AI solutions using Azure OpenAI and related platforms.

• Develop RAG architectures that connect LLMs to enterprise documents, databases, APIs, and other data sources.

• Design and implement vector search, embeddings, semantic search, and knowledge retrieval capabilities.

• Develop AI workflows using frameworks such as Semantic Kernel, LangChain, LangGraph, or Microsoft Copilot Studio.

• Integrate AI solutions with existing enterprise applications, APIs, databases, and data platforms.

• Develop production-quality services using Python and/or .NET/C#.

• Work with Azure services including Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Functions, Azure Storage, and related cloud services.

• Build data pipelines and preprocessing workflows to prepare enterprise information for AI applications.

• Evaluate LLM performance, accuracy, relevance, latency, and cost.

• Implement techniques such as prompt engineering, grounding, retrieval optimization, evaluation, and guardrails.

• Partner with data engineers, software engineers, architects, and business stakeholders to move AI initiatives from proof-of-concept to production.

• Establish appropriate practices for security, responsible AI, data privacy, and governance.

• Troubleshoot and optimize AI applications in production environments.

• Stay current with emerging AI technologies, models, frameworks, and development practices.

Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent professional experience.

• 3+ years of software engineering, data engineering, machine learning, or AI development experience.

• Hands-on experience building and deploying Generative AI or LLM-powered applications.

• Strong Python and/or C#/.NET development experience.

• Experience with Azure cloud services and enterprise application development.

• Experience working with Azure OpenAI, Azure AI Foundry, or comparable LLM platforms.

• Strong understanding of RAG architectures, embeddings, vector databases, and semantic search.

• Experience integrating AI solutions with APIs, databases, enterprise applications, or other data sources.

• Experience with at least one AI orchestration framework such as Semantic Kernel, LangChain, LangGraph, or Copilot Studio.

• Understanding of software development practices including Git, CI/CD, testing, APIs, and application deployment.

• Experience with Microsoft Fabric, Power BI, or Copilot.

• Experience with Azure AI Search or other vector search technologies.

• Experience building enterprise AI agents and agentic workflows.

• Experience with SQL, data engineering, ETL/ELT, and cloud data platforms.

• Experience with Databricks, Snowflake, or similar modern data platforms.

• Experience with MLOps, LLMOps, model evaluation, or AI observability.

• Experience integrating AI with ERP, CRM, HRIS, document management, or other enterprise systems.

• Knowledge of authentication, authorization, API security, and enterprise data governance.

• Experience taking AI solutions from POC/prototype through production deployment.

Technology Doesn't Change the World, People Do.®

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