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.
