Lead AI Engineer

About the role

We are looking to hire a solutions-minded, AI-focused engineer to join our growing team in Palo Alto. In this role, the candidate will seize a unique opportunity to work with data from Fortune 500 companies' legal and risk departments, developing the most secure, enterprise-grade software using the latest in Generative AI.

Responsibilities

• Work closely with customers to understand and address their AI/ML challenges, designing and deploying custom solutions that leverage company technologies.
• 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, influencing AI/ML product roadmaps.
• Lead the deployment of AI/ML solutions, ensuring smooth integration and ongoing optimization.
• Provide technical training to clients, identify challenges in AI/ML deployments, and proactively improve model performance.
• Maintain clear communication with all stakeholders, providing regular updates on progress and outcomes.

Qualifications

• 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, data science, or a similar role, with a strong background in deploying and integrating AI/ML solutions in real-world environments.
• Proficiency in LLMs, RAGs, evaluation techniques, and machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and ML services is essential.
• Strong problem-solving skills in diagnosing and resolving AI/ML model issues, including model drift, data quality challenges, and performance optimization.
• Experience in client-facing roles, with excellent communication and interpersonal skills, and the ability to build strong relationships with customers while guiding them through the AI/ML deployment process.
• Familiarity with MLOps practices and tools (e.g., MLflow) and experience in model deployment, monitoring, and continuous integration/continuous deployment (CI/CD) of AI/ML solutions.
• A passion for AI/ML technologies and a desire to work on innovative solutions that drive significant impact for customers.

Preferred Qualifications

• Familiarity with applying artificial intelligence and machine learning techniques in customer deployments, particularly in areas such as data analysis, predictive modeling, or automation.
• A background in deploying and supporting software solutions within legal technology or complex enterprise environments, with an understanding of industry-specific challenges and requirements.

Pay

Compensation Range: $130,000 - $220,000