AI Engineering Lead
1 мес. назад
240k–340k USD / годСШАLeadOnsite
aiarchitecturementoringpr
Lead and own AI engineering efforts to design and build innovative financial system products onsite in New York.
Требования
- 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 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
- 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
Будет плюсом
- Experience applying ML to regtech / legal space
Условия
- 401k (100% match up to 6%)
- Healthcare, dental, vision, etc
Другое
- 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.
- Day 1: push your first PR to production
- Understand the core problems solves, our ICP, our value proposition, the platform, pricing structure, and roadmap
- Learn the way: how we work and build for hyper growth
- Get up to speed on the codebase and our existing AI efforts
- Deploy 2-3 meaningful improvements to our AI experiences
- Own the AI architecture for the entire product
- 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