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Linkedin · Posted 3mo ago
AI Engineer
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Job DescriptionAI Engineer
- Company: CFS
- Location: Madison, WI (Remote)
- Salary: $195K/yr
- Type: Full-time
- Benefits: Medical, Dental, Vision, Retirement, PTO
About Our Client
- 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 TypeScript
- 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
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