AI Engineer

About You

Are you energized by the opportunity to build and scale AI solutions that create real business impact? Do you thrive at the intersection of software engineering, machine learning, and emerging generative AI technologies? If so, we have an exciting opportunity for you at ARCO, a Family of Construction Companies.

• Design, build, and deploy AI-driven applications and services
• Develop generative AI solutions using large language models (LLMs) via Azure OpenAI Service
• Implement use cases such as chatbots, copilots, document summarization, knowledge search, and workflow automation
• Apply prompt engineering, grounding, and retrieval-augmented generation (RAG) techniques
• Evaluate LLM outputs for accuracy, safety, and performance
• Build, train, and evaluate models using Azure Machine Learning
• Work with structured and unstructured data to support AI and LLM-based solutions
• Perform data preprocessing, feature engineering, and model tuning
• Manage model lifecycle, versioning, and prompt iteration strategies
• Monitor model and LLM performance, usage, and cost; optimize as needed
• Implement CI/CD pipelines using Azure Dev Ops or Git Hub
• Document models, prompts, and system architecture clearly
• Translate business needs into scalable technical solutions
• Work with cross-functional teams to identify AI and LLM opportunities
• Deploy and manage AI/LLM solutions in Azure environments
• Build scalable applications using Azure Functions, Azure App Service, or containers
• Integrate AI capabilities into enterprise systems and Microsoft tools (e.g., Teams, SharePoint, Power Platform)
• Develop backend services and APIs to support AI/LLM applications

• Bachelor’s degree in Computer Science, Engineering, or related field
• 2-5+ years of experience in software development, AI, or machine learning
• Strong programming skills in Python / Microsoft full-stack development
• Experience building APIs and backend services
• Hands‑on experience or strong familiarity with large language models (LLMs) and generative AI concepts
• Experience working in a cloud environment (Azure preferred)
• Experience building applications using Azure OpenAI Service
• Knowledge of LLM techniques such as prompt engineering, RAG, embeddings, and vector search (e.g., Azure AI Search)
• Experience integrating AI into Microsoft ecosystem tools (Teams, SharePoint, Power Platform)
• Familiarity with containerization (Docker) and orchestration (Kubernetes)
• Experience with secure, enterprise‑grade AI deployment

EOE, including disability/vets