Senior Applied AI Engineer

The role

You will build production AI systems designed to outperform experts in Governance, Risk, and Compliance. You will build and fine-tune models, develop agentic workflows, and implement methods for AI explainability and safety.

What you will do

• Build and fine-tune foundation models on proprietary data.
• Develop sophisticated, multi-step agentic workflows to automate GRC processes.
• Implement methods for AI explainability and safety.
• Prototype, evaluate, and integrate state-of-the-art research into production-grade features.
• Build AI agents to analyze regulatory documents and internal controls.
• Develop explainable AI systems for risk assessment.
• Build advanced RAG pipelines over unstructured company data.
• Partner with GRC subject matter experts to create ground-truth datasets.

Required qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 4+ years of experience in applied AI, machine learning engineering, or a related technical role
• Demonstrated hands-on experience building and deploying LLM-based systems (fine-tuning, RAG, or agentic workflows) in a production environment
• Strong written and verbal communication skills

Nice to have

• 5-8 years in an applied AI or machine learning engineering role
• Proven product sense
• Hands-on applied AI expertise

Benefits

• Competitive salary
• Significant equity
• Flexible PTO
• Medical, dental, and vision insurance
• Meals and snacks in the office
• Relocation and immigration support

About the company

Zania is building agentic AI for GRC to solve problems in Governance, Risk, and Compliance. The company is backed by NEA, Anthropic, and Menlo Ventures.