Compensation
Up to $250k
Chief AI OfficerRemote
Head of AI / Chief AI Officer
Jecona · RegTech / Compliance Technology · 📍 United States
First AI technical leader at a pre-seed compliance automation startup, architecting multi-agent LLM systems to make regulatory filings auditable and regulator-ready for public companies.
AI maturity
early
Reports to
CEO
Company stage
startup
Source
linkedin
Key responsibilities
- Architect multi-agent orchestration systems (serial + parallel) using LangGraph, MCP, and PydanticAI for compliance workflows
- Build Graph RAG pipelines across filings, entities, and historical disclosures
- Develop RL/RLHF frameworks to reduce hallucination and optimize accuracy in high-stakes legal outputs
- Design domain-specific prompting, chain-of-thought templates, and decision DAGs with legal/domain experts
- Integrate AI systems with ERP, Microsoft 365, and equity management platforms as a unified source of truth
Requirements
- 5+ years in ML/AI with hands-on RLHF, RAG, and prompt engineering experience
- Experience building or scaling multi-agent or graph reasoning systems
- Strong Python skills across LLM frameworks, orchestration, and cloud pipelines
- Practical experience with LangGraph, PydanticAI, or equivalent custom orchestration frameworks
- Bias toward speed, ownership, and shipping — 0-to-1 builder mentality
Signals
- ⚠ Pre-seed stage means high execution risk and limited resources
- ⚠ Salary capped at $250k with no equity terms disclosed
- ⚠ No prior company postings — very limited track record to assess founders
- ⚠ Recruiting via third-party partner (Jecona appears to be a recruiting firm, not the actual company)
- ✓ Clear, specific technical stack defined (LangGraph, PydanticAI, Graph RAG, RL) — founders have real AI depth
- ✓ Highly differentiated niche: compliance automation for public companies is a genuine, underserved regulatory pain point
- ✓ Founding-team equity framing signals meaningful ownership potential
- ✓ Well-scoped 0-to-1 role with full technical authority — rare autonomy for the right candidate
- ✓ Explicit acknowledgment of pre-seed constraints — transparency about stage