About Eudia:

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, transforming legal from a cost center into a strategic growth driver.

At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation.

We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you.

About the Role:

We are looking to hire a solution focused, Lead AI Engineer to join our team in Palo Alto. This role combines AI research, engineering, and leadership to drive impactful AI solutions at scale. This person will work from our Bangalore office and actively collaborate with the Palo Alto team. 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. The opportunity to tackle challenges in creating cloud-agnostic solutions, maintaining stringent security and compliance standards, and building scalable, resilient platforms for enterprise applications, data, AI, and search also exist while you will be able to routinely innovate on behalf of our customers, collaborating with the world's top legal and risk experts, as well as preeminent business, technology, AI professionals, and engineers.

Key Responsibilities:

Model Deployment: Build, train, and deploy production-grade models with a focus on scalability and efficiency. Optimize existing models for performance, accuracy, and reliability in live environments.
Collaboration: Partner with cross-functional teams, including data engineers, software developers, and product managers, to define project requirements and deliver solutions. Translate business objectives into AI-powered strategies and deliverables.
Data Handling: Process, clean, and analyze large, complex datasets to extract actionable insights. Develop robust data pipelines and frameworks for continuous improvement of AI models.
Performance Metrics: Define success metrics for AI models and continuously monitor performance against business objectives. Document processes and present findings to stakeholders in a clear, actionable manner.
Mentorship & Leadership: Mentor a team of AI Engineers, fostering a culture of innovation, experimentation, and continuous learning.

Qualifications:

Master’s or Ph.D. in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field.
6+ 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.
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.

Why You’ll Love Working Here:

Impactful Work: Be part of a team that’s at the forefront of AI innovation.
Growth Opportunities: Work in an environment that encourages professional growth and the exploration of new ideas.
Dynamic Culture: Join a group of passionate, driven individuals who are committed to making a difference.

If you’re ready to take on the challenge and make an impact in a rapidly evolving industry, we want to hear from you!