About the Role:
AI at Eve isn't a feature — it's the foundation. As an AI Engineer, you'll be working at the intersection of cutting-edge model development and real-world legal workflows, building systems that handle the kind of complex, high-stakes reasoning that most AI products never have to touch. This role is for someone who wants to own the full stack — from data curation and fine-tuning to evaluation and production deployment — and who gets energized by problems that don't have clean answers yet.
What You'll Do:
- Develop AI-Powered Solutions: Design and implement AI systems that understand, analyze, and provide intelligent assistance across various legal tasks and queries.
- Optimize and Integrate Models: Fine-tune models on high-quality, domain-specific data (code, natural language, product usage signals)
- Advance AI Reasoning: Improve the reasoning capabilities of our AI systems to enhance decision-making and support complex legal domains
- Collaboration: Work closely with product engineers to integrate models into real user-facing features. Partner closely with legal professionals to translate their expertise into technical requirements, tailoring AI solutions to legal industry needs.
- Build Rigorous Evaluation Frameworks: Establish frameworks that rigorously measure and evaluate AI performance, ensuring meaningful, reliable outcomes.
What We're Looking For:
- Educational Background: Bachelor’s or Master’s degree in Machine Learning, Artificial Intelligence, Computer Science, or a related field.
- Experience in Complex AI Systems: Proven experience developing advanced AI systems, particularly those that deconstruct complex tasks into manageable steps. Shipped ML systems in production, with real users and high uptime.
- Expertise in Model Optimization: Proficiency in optimizing and fine-tuning foundational models, with a desire to push AI capabilities forward.
- Analytical Skills: Strong ability to measure impactful metrics and build frameworks to assess AI performance effectively.
- Problem-Solving Skills: Skilled in integrating various models and tools to create robust solutions for real-world applications.
