Senior AI Engineer — Agentic GRC Production Systems

Zania

San Francisco (CA)

On-site

USD 180,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Flexible PTO
Medical, dental, and vision insurance
Relocation support
Immigration support
Meals in office
Significant equity

Job summary

Zania, based in San Francisco, seeks a Senior Applied AI Engineer to build production AI systems for governance, risk, and compliance. You will own AI-native products with focus on accuracy, explainability, and responsible design, taking models from development to production.

You will fine-tune foundation models, develop agentic workflows, and ensure AI safety and transparency. The role includes relocation support and a competitive compensation package.

Qualifications

  • Bachelor's degree in CS, Engineering, or related field, or equivalent practical experience.
  • 4+ years of applied AI, ML engineering, or related technical role.
  • Hands-on experience building and deploying LLM-based systems (fine-tuning, RAG, or agentic workflows) in production.

Responsibilities

  • Build & fine-tune models for GRC tasks with high accuracy and explainability.
  • Develop AI-native, multi-step agentic workflows to automate complex GRC processes.
  • Champion responsible AI with explainability and safety in production systems.
  • Drive rapid prototyping and integration of state-of-the-art AI research into production features.

Skills

Applied AI
ML engineering
LLMs
Fine-tuning
RAG
Agentic workflows
Production ML

Education

Bachelor's degree in Computer Science or Engineering

Tools

RAG pipelines
Agentic systems

Job description

Zania, based in San Francisco, seeks a Senior Applied AI Engineer to build production AI systems for governance, risk, and compliance. You will own AI-native products with focus on accuracy, explainability, and responsible design, taking models from development to production.

You will fine-tune foundation models, develop agentic workflows, and ensure AI safety and transparency. The role includes relocation support and a competitive compensation package.

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