Headline: Founding Engineer (AI Automation & Knowledge Graph) - SF Based, Open Source Focus - Up to $230K DOE

About Our Client:

Our client, a rapidly scaling Y Combinator startup, is revolutionizing financial compliance with advanced AI agents. They've already achieved an 87% reduction in manual reviews, automating processes within a $30 billion industry. Their vision extends to building a comprehensive global risk network, setting the stage for advancements in identity verification. Join their team in San Francisco to shape this transformative technology.

Why Join Our Client:

Significant Impact: Directly contribute to solving a major industry challenge with cutting-edge AI.
Founding Role: Be the first founding engineer, playing a crucial role in shaping the company's technical direction.
High-Growth Environment: Thrive in a fast-paced, YC-backed startup with ambitious goals.
Expert Team: Collaborate with experienced entrepreneurs with proven track records.
San Francisco Hub: Work in person in the heart of the SF tech ecosystem.

The Role:

Lead the development of their core AI technologies, focusing on:

Building a Generalizable AI Automation Agent to streamline complex workflows.
Constructing a Global Knowledge Graph to identify and mitigate risk.

Responsibilities:

Design, develop, and deploy scalable machine learning systems using Python, LLMs, VLMs, and traditional ML.
Lead the development of key projects, from concept to production on AWS.
Architect and implement robust data pipelines and infrastructure.
Collaborate closely with the founders to define technical strategy and product roadmap.

What They're Looking For:

Proven ability to write clean, scalable code and solve complex technical challenges.
A client-focused approach, with a strong understanding of building solutions that address real-world needs.
A proactive, self-starting attitude, with a drive to take ownership and deliver results.
A collaborative mindset and a strong team player.
Demonstrable experience contributing to open-source projects (active GitHub required).
Ability to work in person at their San Francisco office.
Open to all experience levels from fresh graduate to Senior/Staff Engineer.

Tech Stack:

Python, Large Language Models (LLMs), Vision Language Models (VLMs), Traditional Machine Learning
Django, Docker, PostgreSQL, AWS

Compensation:

Up to $230,000 DOE (Depending On Experience)

Join Them:

If you're a passionate engineer with a strong open-source background, eager to contribute to a groundbreaking AI startup in San Francisco, apply now to build the future of compliance..
Ability to work in person at their San Francisco office.
Open to all experience levels from fresh graduate to Senior/Staff Engineer.

Tech Stack:

Python, Large Language Models (LLMs), Vision Language Models (VLMs), Traditional Machine Learning
Django, Docker, PostgreSQL, AWS

Compensation:

Up to $230,000 DOE (Depending On Experience)

Join Them:

If you're a passionate engineer with a strong open-source background, eager to contribute to a groundbreaking AI startup in San Francisco, apply now to build the future of compliance.

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