About the Opportunity: We are seeking an experienced Artificial Intelligence Engineer who specializes in delivering end-to-end AI solutions using Agentic AI frameworks and Generative AI technologies. This role demands consultative skills, technical expertise, and the ability to identify impactful use cases and articulate business benefits while implementing scalable AI solutions. What You’ll Do:

Design and implement Agentic AI architectures for enterprise workflows

Integrate Generative AI capabilities (LLMs, multimodal models) into solutions

Deliver end-to-end AI solutions from ideation to production deployment

Design prompt templates and implement retrieval strategies to increase answer precision and factuality

Assist in creating data pipelines for training and testing, including annotation and evaluation tooling

Collaborate with product managers to translate user requirements into technical features

Participate in error analysis, iterative model improvement, and performance tuning

Document code and workflows clearly; follow best practices for reproducibility and code quality

Engage with clients to identify high-value AI use cases and define business benefits

Conduct workshops and assessments to align AI strategies with organizational goals

Provide thought leadership on AI adoption and emerging trends

Develop reusable frameworks and accelerators for Agentic AI and GenAI

Ensure compliance with AI ethics, security, and governance standards

Stay ahead of industry developments in Agentic AI, autonomous agents, and LLM ecosystems

Orchestrate complex multi-agent workflows to handle tasks requiring planning, reasoning, and tool use What We’re Looking For:

Strong experience in Agentic AI frameworks Claude, OpenAI

Hands-on expertise with Generative AI (LLMs, prompt engineering, fine-tuning)





Proficiency in Python and familiarity with deep learning/NLP libraries

Experience with building retrieval-augmented generation pipelines

Knowledge of vector databases or semantic search concepts

Familiarity with cloud AI platforms ( Azure OpenAI)

Knowledge of MLOps practices and deployment pipelines

Ability to articulate the business value of AI solutions and drive client conversations

Experience building custom solutions and plugins using Claude

Experience implementing RAG using Azure AI Search (vector, semantic, and hybrid search) and OneLake/Microsoft Fabric What We Offer:

Competitive base salary: $140,000-$175,000/year

Flexible vacation policy – take the time you need to recharge

Comprehensive health, vision & dental insurance

401k with company contribution

Beautiful downtown Denver office with company-paid commuter benefits (parking or RTD EcoPass) Opportunity for career progression with plenty of room for personal growth What to Expect:

1st Round: 30-45 minute interview with the Recruiter

2nd Round: 45-minute interview with the Hiring Manager

3rd Round: 2 hours of onsite interviews with the Hiring Team Please note that we are fully onsite work environment, and require daily presence at our LoDo/Union Station office. We are not considering remote, hybrid, or out-of-area candidates, and do not work with outside recruiting agencies. MarketOnce will accept applications for this role on an ongoing basis.

MarketOnce is an Equal Opportunity Employer. We believe in creating a diverse and inclusive workplace where everyone has the prospect to thrive. We are committed to hiring individuals based on their skills and qualifications, regardless of race, gender, age, sexual orientation, disability, or any other characteristic. We welcome and encourage applications from all backgrounds.

📌 Artificial Intelligence Engineer (Quinte West)
🏢 MarketOnce
📍 Quinte West