Lead AI Engineer

About the Company

Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise.

Responsibilities

• Work closely with customers to understand and address their AI/ML challenges, designing and deploying custom solutions
• Act as the primary technical contact, providing hands-on support during deployment and ensuring successful integration
• Collaborate with product management and engineering to convey customer feedback and influence product roadmaps
• Lead the deployment of AI/ML solutions, ensuring smooth integration and ongoing optimization
• Provide technical training to clients and proactively improve model performance
• Maintain clear communication with all stakeholders regarding progress and outcomes

Requirements

• Master’s or Ph.D. in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field
• 2-5 years of experience in AI/ML engineering or data science
• Proficiency in LLMs, RAGs, evaluation techniques, and machine learning frameworks like TensorFlow or PyTorch
• Strong programming skills in Python
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Experience in client-facing roles with excellent communication skills
• Familiarity with MLOps practices and tools like MLflow
• Experience in model deployment, monitoring, and CI/CD for AI/ML solutions

Preferred Qualifications

• Experience applying AI/ML techniques in customer deployments for data analysis or automation
• Background in deploying software within legal technology or complex enterprise environments