Job Description
We are partnering with an AI-powered Compliance OS designed for public companies and regulated businesses to automate, draft, and verify regulatory filings. This is a pre-seed company where you are coming in at the beginning and setting the technical direction and building 0 -> 1.
They are looking for someone who is in a senior / staff / principal / lead role who has led or mentored, or someone in a more senior leadership role at a startup. The salary range is 185k-250k and can provide anywhere from 3-5% in equity.
What we are building:
- Multi-agent orchestration (serial + parallel) using LangGraph, MCP, and PydanticAI
- Graph-based retrieval (Graph RAG) across filings, entities, and historical disclosures
- Reinforcement learning for consistency, hallucination reduction, and reward-based accuracy
- Deep integration with ERP, Microsoft 365, and equity management systems — creating a single source of truth
The Role
We are looking for a true 0 to 1 builder. This will be your company as much as ours. You’ll own the product - architecture, algorithms, and reliability — designing multi-agent systems that reason over structured + unstructured data and deliver auditable, regulator-ready legal outputs.
This role sits at the intersection of applied research, product, and infrastructure.
You’ll:
- Architect multi-agent systems for reasoning and verification in high-stakes workflows
- Build graph-based retrieval and long-context scaffolding for cross-document reasoning
- Develop RL frameworks to optimize accuracy and reduce hallucination
- Design domain-specific prompting and chain-of-thought templates for risk disclosure with domain experts
- Translate legal and financial logic into state machines and decision DAGs
- Ship fast, own quality, and make the system work
What we are looking for:
- 5+ years in ML/AI (RLHF, retrieval-augmented systems, designing few-shots learning/high quality prompts to mitigate hallucination)
- Experience building or scaling multi-agent or graph reasoning systems
- Strong Python skills (LLM frameworks, orchestration, cloud pipelines)
- Experience with LangGraph, PydanticAI, or custom orchestration frameworks
- Research or applied work in RL, CoT reasoning, or graph retrieval
- Bias toward speed, clarity, and ownership
Nice to Have:
- Built in high-stakes, high-accuracy domains (finance, legal, healthcare)
- Former founder
- Background in legal or regulated workflow
- Advanced degree in CS, ML, or equivalent depth
- You would describe yourself as a character in Big Bang Theory
- Multilingual and/or global experiences