Head of AI / Principal AI Architect / ML Engin

Head of AI / Principal AI Architect

Position Title

Position Title

Head of AI / Principal AI Architect / ML Engineer / Data Scientist

Location

Location

Hybrid - San Francisco (In-office 3 days / week)

Position Type

Position Type

Full-Time (Permanent or Contract)

Work Policy

Work Policy

Hybrid (No relocation assistance)

Start Timeline

Start Timeline

ASAP

Compensation

Base Salary : $200,000 - $350,000 (dependent on experience & level)

Equity : ~2% (flexible based on comp level and role)

Notes : Compensation varies based on interview performance and final role level

Overview

Reimagining the $1.25 trillion private wealth industry through AI, making elite alternative investments-like private equity and venture capital-accessible to a new generation of investors.

Founded : 2022

Stage : Seed (Raised ~$2M)

Revenue : Active customers with six-figure revenue and profitability

Backed by : Y Combinator, Goodwater Capital, Phoenix Fund, Perpetua

Why Join

Join a YC-backed, high-growth fintech startup with a live product

Build foundational AI infrastructure for a category-defining wealth platform

Competitive salary + equity with meaningful ownership

High-agency culture with a deep tech and product focus

Work on cutting-edge agentic and multi-modal AI in production

Role Summary

Hiring a top-tier AI engineer to lead model development and architecture efforts for its AI wealth assistant. This is not a tooling or API integration role-this is for builders with deep experience in LLM development, agent frameworks, and multi-modal architectures.

You'll work directly with the CEO and CTO to create financial copilots, RAG-powered recommendation engines, and autonomous agents that analyze market conditions and help users build wealth.

Core Responsibilities

Architect and build generative AI systems for financial planning, analysis, and recommendation

Design and implement RAG pipelines for knowledge retrieval across financial documents

Lead development of autonomous agents for user-facing advisory workflows

Apply advanced prompting strategies (Tree of Thoughts, Constitutional AI, Agent protocol)

Collaborate cross-functionally with product, design, and business teams

Must-Have Qualifications

Hands-on experience developing LLMs or foundation models, not just API usage

Previous work at a top AI lab or foundation model company, such as OpenAI, Anthropic, DeepMind, Google Brain, or Meta FAIR

PhD (or equivalent advanced degree) in AI / ML from a top institution (Stanford, MIT, CMU, Berkeley, etc.)

Deep technical expertise in

Generative LLMs (GPT-4, Claude, LLaMA 3)

RAG optimization & hybrid search

Multi-modal systems (text + voice)

Agent orchestration for financial analysis or planning

Strong collaboration and product mindset-able to work closely with non-technical teams

Comfortable with startup hours and pace (expectation : ~9am-9pm, 6 days / week)

Preferred Qualifications

Published in top-tier AI conferences : NeurIPS, ICML, ACL, CVPR

Fintech or financial modeling experience

Experience leading AI / ML research teams or projects

Experience building zero-to-one AI-powered products

Familiarity with Goodfin's tech stack : Python, TypeScript, Claude, LLaMA, DynamoDB, AWS

Do Not Apply if the following

Only used LLM APIs without hands-on model building

Career focus is outside of NLP / LLMs (e.g., vision, robotics, traditional ML)

Multiple short stints or lack of deep technical execution

Unavailable for intense startup culture and long hours

Interview Process

Hiring Manager Screen

CTO Interview - Technical deep dive

CEO Interview - Vision and mission alignment

System Design (45 min) - Conversational chatbot architecture + hallucination mitigation

Coding Round - Live or take-home (case-by-case)

Behavioral Interview - With business team

Offer

Application Pre-Screen Questions (Mandatory)

Have you worked at a top AI lab or foundation model company (e.g., OpenAI, DeepMind, Anthropic)?

Have you personally developed or fine-tuned large-scale language models?

Are you open to working 9am-9pm, six days a week, during core build phases?

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