AI Engineer

Job Description

• Company: CFS
• Location:
  
  Madison, WI (Remote)
• Salary: $195K/yr
• Type:
  Full-time
• Benefits:
  Medical, Dental, Vision, Retirement, PTO

• The company is financially sound, yet their success is not just defined by their profits; it's about living their core values.
• Ton of opportunity for growth and providing a better place to live and work!
• The company boasts a team-oriented culture and provides its employees with the tools and training necessary to perform.
• Huge Employee Perks!

• Compensation:
  Up to $195,000 per year + 8% annual bonus
• PTO:
  Unlimited
• Retirement: 401K w/ a match
• Medical:
  Health, vision, and dental plans available for individuals and families

• Partner with stakeholders to identify high-impact opportunities where AI can drive efficiency, growth, and competitive advantage
• Design and deploy sophisticated LLM-based agent systems, reasoning workflows, and tool-integrated pipelines (RAG, chain-of-thought, planning-execution patterns)
• Architect and maintain production-grade APIs supporting real-time and asynchronous agent operations, including Model Context Protocol (MCP) integration
• Develop robust prompt strategies, vector database implementations, and knowledge graph architectures ensuring reliable model behavior
• Build comprehensive testing frameworks, observability tooling, and diagnostic systems for agent execution and performance monitoring
• Manage the complete AI model lifecycle — integration, deployment, fine-tuning, and production monitoring with logging and recovery mechanisms
• Establish AI governance standards addressing compliance, security, responsible AI, and ethical considerations
• Champion AI adoption across the organization; define success metrics, track progress, and drive organizational alignment
• Collaborate with frontend teams to build intuitive user interfaces and seamless AI system integration using React and Type Script

• 10+ years of software development and systems architecture experience
• 3+ years of hands‑on experience designing and implementing AI‑driven solutions with production AI tools
• 3+ years of specialized expertise with Large Language Models, Generative AI, NLP, and machine learning fundamentals
• Practical experience with deep learning frameworks, RAG architectures, vector databases, and agent-based frameworks
• Working knowledge of cloud‑native AI services and deployment patterns