AI/ML Tech Lead - PT/FT - Worldiwide

Company & Product

Finiti is building AI‑native software for SEC reporting. We are building an AI “corporate lawyer” that drafts, reviews and stress-tests corporate legal filings. Tech under the hood:

• First team to commercialise Stanford’s AI legal persona research into product (NeursIPS 2025); two patents pending
• Multi-agent orchestration with serial/parallel workflows
• Domain-specific prompting + context-aware drafting
• Near-infinite context approximation
• Not just “RAG++” - real architecture-level work

Role Overview

We’re hiring a senior AI/ML Tech Lead who can operate as an acting CTO and Product Owner for a 6 month engagement. This is a hands‑on, player‑coach role focused on improving latency, accuracy, and delivery velocity while shaping the product roadmap and leading a small engineering pod.

You’ll work closely with the founding team to turn legal logic into intuitive UX, orchestrate multi‑agent LLM systems for high‑stakes workflows, and ship reliable, production‑ready features quickly. We are targeting a launch on November 28, 2025.

What You’ll Do

• Own the roadmap toward the end‑of‑November launch: define goals, milestones, and cutlines with founders.
• Translate legal logic into product: partner with domain experts to design flows that drive customer obsession.
• Lead a small, high‑performing team: set engineering standards, review designs/PRs, unblock execution.
• Architect & ship improvements to our ML/LLM systems (Azure-hosted) to materially improve latency, accuracy, and reliability.
• Design multi‑agent orchestration (serial/parallel workflows) using frameworks like PydanticAI, LangGraph, and MCP.
• Implement eval & observability for LLMs/agents; build evaluation harnesses, data pipelines, and guardrails.
• Interface with LLMs, RAG, and unstructured data, including domain‑specific prompting and context‑aware drafting.
• Build product features in Next.js/React (frontend) and Python (backend); ship clean, production‑ready code.

Must‑Have Qualifications

• Deep experience in ML/LLM systems and agent orchestration for specific, high‑stakes tasks.
• Proven team leadership and product roadmapping in zero‑to‑one environments.
• Background in enterprise software and high‑security applications.
• Hands‑on with Azure, OpenAI, Gemini; proficient in Python and React/Next.js.
• Comfortable owning latency, accuracy, and reliability metrics end‑to‑end.
• Excellent communication; habit of asking clarifying questions and proactively reducing ambiguity.

We would like you to be

• Self-starter, curious, “relentlessly resourceful” and fast-moving
• Wants to lead a tiny team of cracked-out engineers and work alongside the best AI talents from Stanford AI Lab and DeepMind
• Cares more about building at the bleeding edge of applied LLM than chasing what’s hot
• Gets excited about novel business models and eating a $400B market from the inside

Preferred: Advanced degree in AI/ML or equivalent depth of experience.