Machine Learning Engineer​/AI Engineer

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.

• 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 department's 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, 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/Dev Ops principles to bring products to life, achieve business objectives and serve customer needs.

• 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).

• 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.

• Collaborative Partnership.
• Problem‑Solving & Analytical Thinking.
• Continuous Learning & Innovation.

Location:

Englewood, CO (Hybrid).

Pay Range:
The approximate pay range for this position is between $70.00 and $87.00. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Benefits:
Medical, Dental & Vision Insurance Plans;
Employee‑Owned Profit Sharing (ESOP); 401K offered.