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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 opportunity 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.

What you’ll do

Design and implement end-to-end Agentic AI and Generative AI solutions for enterprise workflows. Collaborate with clients to identify high-value use cases and ensure alignment with organizational goals.

Requirements

Requires strong experience in Agentic AI frameworks, Generative AI, and Python programming. Candidates must be capable of working fully onsite in Denver and possess expertise in RAG pipelines and MLOps.

Benefits

• Flexible vacation policy • Health insurance • Vision insurance • Dental insurance • 401k with company contribution • Commuter benefits

Listed skills

• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Agentic AI
• Generative AI
• Python
• LLMs
• Prompt engineering
• Fine-tuning
• Retrieval-augmented generation
• Vector databases
• Semantic search
• Azure OpenAI
• MLOps
• Deep learning
• NLP
• Cloud AI platforms
• Data pipelines
• Ethical AI
• Prompt Engineering
• Workplace Inclusivity
• Pipelines
• Vector Database
• MLOps (Machine Learning Operations)
• Generative Artificial Intelligence
• Ideation
• Multimodal Models
• Workflow Management
• Retrieval Augmented Generation
• AI Adoption
• Microsoft Fabric
• Technology Ecosystems
• Thought Leadership
• Planning
• Multi-Agent Systems
• Artificial Intelligence
• Microsoft Azure
• Business Valuation
• Error Analysis (Numerical Analysis)
• Governance
• Scalability
• Python (Programming Language)
• Performance Tuning
• Semantic Search
• Software Quality (SQA/SQC)
• Tooling
• User Requirements Documents
• Deep Learning
• Data Pipelines
• Artificial Intelligence Infrastructure
• Claude AI

Job areas

• Technology
• Software
• Data & Analytics
• Engineering
• Consulting
• Artificial Intelligence Engineer
• Generative Artificial Intelligence Engineer
• Software Developers
• Computer and Information Research Scientists