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Machine Learning Engineer/AI Engineer
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Kelly Mitchell
Greenwood Village, CO (In Person)
Full-Time
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Job Description
Job Summary Our client is seeking a Machine Learning Engineer/AI Engineer to join their team! This position is responsible for developing, implementing and maintaining knowledge-based or artificial intelligence application systems. The individual should ensure that information is converted into a format that is digestible and easy for end users to access the information and utilize it optimally. This position is W-2 only. We do not work with third-party firms or C2C arrangements for this role. Core Responsibilities Designs and writes complex code in several languages relevant to our existing product stack, with a focus on automation Configures, tunes, maintains and installs applications systems and validates system functionality Monitors and fine tunes applications system to achieve optimum performance levels and works with hardware teams to resolve issues with hardware and software Develops and maintains departments knowledge database containing enterprise issues and possible resolutions Develops models of task problem domain for which a system will be designed or built Uses models, hypotheses, and cognitive analysis techniques to elicit real problem-solving knowledge from the experts Mediates between the expert and knowledge base; encodes for the knowledge base Acts as subject matter expert for difficult or complex application problems requiring interpretation of AI tools and principles Researches and prepares reports and studies on various aspects of knowledge acquisition, modeling, management, and presentation Develops and maintains processes, procedures, models, and templates for collecting and organizing knowledge into specialized knowledge representation programs Acts as vendor liaison for products and services to support development tools Maintains the definition, documentation, training, testing, and activation of Disaster Recovery/Business Continuity Planning to meet compliance standards Maintains a comprehensive operating system hardware and software configuration database/library of all supporting documentation to ensure data integrity Acts to improve the overall reliability of systems and to increase efficiency Works collaboratively with cross functional teams, using Agile / DevOps principles to bring products to life, achieve business objectives and serve customer needs Required Skills/Experience (Must-Haves) Strong proficiency in Python Hands-on experience with LLMs and prompt engineering Expertise in Azure OpenAI SDKs, APIs, and deployment strategies Knowledge of agentic systems and Model Context Protocol (MCP) Familiarity with cloud integration, REST APIs, and containerization (Docker/Kubernetes) Preferred Skills/Experience (Nice-to-Haves) Experience with enterprise AI applications and retrieval-augmented generation (RAG) Understanding of vector databases and data pipelines Knowledge of security and compliance in AI systems