Senior AI Engineer for Production-Grade GRC Agents

Zania

Palo Alto (CA)

On-site

USD 150,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Relocation assistance
Equity
Competitive compensation

Job summary

Zania is building agentic AI for GRC to solve governance, risk, and compliance with production systems, not dashboards. You will own AI-native products that set a new global standard in GRC, building and fine-tuning models with proprietary data and creating multi-step agentic workflows.

We operate an in-person work model with relocation assistance. Join a world-class team of AI and security leaders; help scale through hyper-growth while ensuring explainability and safety across the platform.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 4+ years in applied AI/ML engineering.
  • Hands-on experience building and deploying LLM-based systems (fine-tuning, RAG, agentic workflows).
  • Strong written and verbal communication with cross-functional teams.

Responsibilities

  • Build & fine-tune models with proprietary data for high accuracy.
  • Develop multi-step agentic AI workflows for complex GRC processes.
  • Champion responsible AI: explainability, safety, transparency, auditable systems.
  • Drive rapid evaluation and integration of state-of-the-art research into production features.

Skills

Applied AI
Production ML
LLM fine-tuning
RAG workflows
Agentic AI

Education

Bachelor's degree in CS or related field
Equivalent practical experience

Tools

OpenAI API
Hugging Face

Job description

Zania is building agentic AI for GRC to solve governance, risk, and compliance with production systems, not dashboards. You will own AI-native products that set a new global standard in GRC, building and fine-tuning models with proprietary data and creating multi-step agentic workflows.

We operate an in-person work model with relocation assistance. Join a world-class team of AI and security leaders; help scale through hyper-growth while ensuring explainability and safety across the platform.

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