Product Engineer

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.

Are you excited about building products that shape the future of AI-driven legal solutions?

We are looking for a Product Engineer to help build next-generation platforms that power agentic AI models for the legal industry. This is a high-ownership role for engineers who enjoy working across the stack, understanding customer problems deeply, and shipping intuitive, reliable products at speed.

You will work at the intersection of cutting-edge AI, scalable infrastructure, and legal innovation, building intelligent systems that streamline workflows, enhance legal research, and automate complex decision-making. You will collaborate closely with product managers, designers, AI engineers, and customers to take ideas from initial concept to production.

This is a great opportunity to build enterprise-grade resilient platforms and services backed by cutting-edge generative AI solutions for some of the world’s largest Fortune 500 companies.

End-to-End Product Ownership: Own the complete lifecycle of product features, from understanding user problems and shaping solutions to building, testing, launching, and iterating based on feedback.

Full-Stack Development: Build intuitive frontend experiences, reliable backend services, APIs, and data workflows that power AI-driven enterprise products.

Rapid Product Iteration: Work closely with product managers, designers, and customers to prototype quickly, validate assumptions, and ship meaningful improvements in short cycles.

AI-Native Product Development: Integrate generative AI models, agentic workflows, and retrieval systems into real-world legal use cases while ensuring reliability, explainability, and strong user experience.

Code Quality and Best Practices: Maintain high coding standards, conduct code reviews, and ensure adherence to engineering best practices across the development team.

System Ownership: Take full ownership of significant product modules and services, ensuring scalability, resilience, maintainability, and non-functional excellence.

Cross-Functional Collaboration: Partner closely with product managers, designers, AI engineers, backend engineers, and customer-facing teams to align technical decisions with user and business outcomes.

Performance and Reliability: Identify and resolve bottlenecks across the application, improve response times, optimize user workflows, and ensure a seamless experience at enterprise scale.

Innovation and Development: Contribute to the evolution of the product and engineering stack by evaluating modern frameworks, development patterns, and emerging AI capabilities.

Educational Background: Bachelor’s degree in Computer Science, Engineering, or a related field. A Master’s degree is preferred but not required.

Strong Programming Skills: Proficiency in JavaScript or TypeScript and experience with modern frontend frameworks such as React or Next.js. Familiarity with backend technologies such as Node.js, Python, Java, or similar languages.

Full-Stack Product Development: Experience building and shipping web applications end to end, including user interfaces, APIs, backend services, databases, and third-party integrations.

Product Mindset: Strong ability to understand user problems, make pragmatic technical trade-offs, and prioritize solutions that create measurable customer impact.

Architecture Fundamentals: Good understanding of client-side and server-side architecture principles, API design, database modeling, authentication, cloud deployment, and system reliability.

AI Product Exposure: Familiarity with generative AI models, LLM APIs, retrieval-augmented generation, or agentic workflows is preferred. A strong interest in learning and building with AI is essential.

Tooling and Infrastructure Expertise: Familiarity with modern build tools, CI/CD pipelines, and cloud platforms such as AWS, GCP, Azure, or Vercel.

Problem-Solving: Excellent analytical and problem-solving skills with the ability to navigate ambiguity, diagnose complex issues, and deliver effective solutions.

Communication and Collaboration: Ability to clearly communicate technical concepts to both technical and non-technical audiences while collaborating effectively with cross-functional teams and product stakeholders.

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!