Implementation Engineer

About the role

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:

Are you excited about shaping the future of AI-driven legal solutions? We are looking for a Implementation Engineer to help build next-generation platforms that power agentic AI models for the legal industry. This role offers the opportunity to 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. It's a great opportunity to build enterprise-grade resilient platforms and services that are backed by cutting edge generative ai based solutions for some of the big Fortune 500 companies.

Key Responsibilities:

- Technical Skills: Good knowledge of scripting languages.

- Code Quality & Best Practices: Must exhibit high coding standards, conduct code reviews, and ensure adherence to best practices within the development team.

- Ownership: Taking full ownership of significant modules and platforms ensuring its functional completeness.

- Cross-functional Collaboration: Working closely with other engineering teams, including engineers and GTM

Qualifications:

- Bachelor's in Computer Science

- Strong Programming Skills: Proficiency in multiple programming languages relevant to large-scale system development (e.g., Java, C++, Python, Go).

- Problem-Solving: Excellent analytical and problem-solving skills to diagnose complex technical issues and develop effective solutions.

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

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.