Job Description

Skills: ML, Python, Machine Learning, Reinforcement learning (RL), LLMs

This is a hands-on full-time role as an AI Engineering Lead, located onsite in New York, NY.

You will work directly with the founding team to design and build the future of the financial system, fully developing and owning all of our AI efforts. We pride ourselves on having a hands off culture by having very few meetings and giving engineers a broad scope of responsibility. We’re focused first and foremost on empowering each other to do our best work at the fastest rate possible, today and into the future. You'll be on a team that works incredibly hard and seeks other exceptional people excited to do the same.

Responsibilities

First week:

• Day 1: push your first PR to production
• Understand the core problems Hadrius solves, our ICP, our value proposition, the Hadrius platform, pricing structure, and roadmap
• Learn the Hadrius way: how we work and build for hyper growth
• Get up to speed on the codebase and our existing AI efforts

First month:

• Deploy 2-3 meaningful improvements to our AI experiences
• Own the AI architecture for the entire Hadrius product

First 3 months & beyond:

• Pioneering and guiding AI efforts
• Continuing to develop the above skillset, paying special attention to scaling challenges as we bring on more and more clients
• Hiring and mentoring new team members

About You

• Exceptionally skilled: You are highly competent as an engineer, coming from 1,000s of hours of practice.
• Engineer first, data scientist second: You’ll should be comfortable shipping production ready backend python code.
• Coachable: Open to learning the Hadrius way and raising the bar while you’re at it.
• Grit: You’re consistently the hardest working person on your team.
• All-in: This is not a 9-5. We have a massive opportunity ahead of us with a lot at stake. We are optimizing for the best folks and are happy to compensate generously.
• Team-first mentality: You are interested in building for the long-term alongside founding team members. No jerks.
• Autonomy: Exercise a high-degree of autonomy and technical authority

Qualifications

• 6+ years of engineering experience
• Built and deployed agentic experiences, owning everything from logging, labeling, evals and the like, end to end
• Clear communicator with a penchant for solving problems
• Previous experience in a fast-paced startup environment
• Bachelor's or Master's degree in Computer Science or a related field

Nice to haves

• Experience applying ML to regtech / legal space

Benefits

• 401k (100% match up to 6%)
• Healthcare, dental, vision, etc

Interview Process

1. 20 minute phone screen: Details on the role, questions to assess initial fit
2. 60 minute deep-dive: We’ll cover systems you’ve built and managed
3. On-site:
4. 45 minute 2:1 technical deep dives with engineering leads
5. 2x mutual culture fit chats with engineers
6. Reference call
7. Offer