AI Engineer

About the role

We're looking for an AI Automation Engineer to build multi-agent AI systems that automate compliance workflows at scale. You'll design RAG pipelines, develop LLM-powered agents, and create integrations with enterprise platforms—all while ensuring accuracy and audit-readiness. This is a high-impact role where your work directly powers our compliance automation platform.

Key responsibilities

• Build multi-agent AI architectures for evidence collection, gap analysis, and remediation
• Develop RAG pipelines and vector database systems for compliance knowledge retrieval
• Create integrations with GitHub, Okta, AWS, GCP, Azure, Jira, and enterprise systems
• Design hybrid rule + LLM evaluators to ensure accuracy and reduce hallucinations
• Use Claude Code and Claude Cowork to accelerate automation pipeline development
• Implement LLMOps best practices for model deployment, monitoring, and optimization
• Build explainability and traceability features for audit-ready AI outputs

About you

• 3+ years in AI/ML engineering
• 3+ years in Programming
• 2+ years working with LLMs (GPT, Claude, open-source models)
• Production experience with RAG systems and multi-agent architectures
• Hands-on with Claude Code, Claude Cowork, or similar AI-assisted dev tools
• Python (strong proficiency) or any programming language
• Experience with LLM APIs: OpenAI, Anthropic Claude, Gemini
• Multi-agent frameworks: LangChain, LangGraph, AutoGen, CrewAI
• Vector databases: Pinecone, Weaviate, Chroma, Qdrant
• Cloud platforms: AWS, GCP, or Azure