Who We're Looking For We're seeking Applied AI Engineer's to drive and scale the validation of our AI systems. You'll lead a team of applied scientists while staying hands-on, building the measurement frameworks and experimental approaches that ensure our AI systems deliver reliable results.

What You'll Do

• Design, build, and deploy ML systems that power core product features—from prototype to production.
• Work across the stack to integrate models into scalable and maintainable infrastructure.
• Conduct rigorous experimentation, data analysis, and performance evaluation to drive improvements.
• Collaborate closely with product, design, and engineering teams to align technical solutions with business goals.
• Mentor junior engineers and help establish best practices for our ML development lifecycle.
• Own projects end-to-end in a fast-paced, agile environment—wearing multiple hats when necessary.
• Stay up-to-date with research and emerging techniques to inform our ML roadmap.

Qualifications

• Expertise in Machine Learning algorithms and LLM architectures
• Python is must have and Typescript is a nice to have
• Experience with developing, fine-tuning, and deploying LLMs and other advanced ML models in production environments.
• Experience with cloud-based platforms and ML infrastructure (e.g., AWS, GCP, Azure) to scale model development and deployment.
• Strong communication skills to explain complex ML and LLM concepts to non-technical stakeholders and influence decision-making at the leadership level.

Nice-to-haves

• Experience producing and working with AI-driven or data-heavy platforms.
• Familiarity with legal technology or products in the legal industry.
• Previous experience in fast-paced startup environments or building products from the ground up.

Compensation The salary range for selected regions is $190,000-230,000 annually plus equity, with the potential for variation based on qualifications and skills.