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Eudia builds augmented intelligence for corporate legal departments, combining models with a network of legal professionals. Founded in 2023 in Palo Alto, it targets in-house teams asked to handle more work without more headcount. Its offering covers contracts, compliance and legal operations analytics.

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.
  • 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!

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