Lead Software Engineer - Search and Infra

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 Lead Software Engineer with deep expertise in Search and NLP to join our founding team in Palo Alto. This role will focus on building highly scalable Search infrastructure to enable efficient NLU and Insights functions on versatile legal knowledge base. 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:

• Technical Leadership: Architecting and implementing complex technical solutions for critical Search infrastructure components, including data pipelines, indexing systems, query processing, or distributed computing systems. 
• System Ownership: Taking full ownership of a significant part of the Search infrastructure, ensuring its stability, performance, and scalability to meet growing user demands.  
• Cross-functional Collaboration: Working closely with other engineering teams, including product managers, data scientists, and other platform and AI teams, to align on technical roadmaps and deliver impactful solutions.  
• Performance Optimization: Identifying and resolving performance bottlenecks in existing systems, optimizing code for efficiency and low latency.  
• Innovation and Development: Contributing to the evolution of Search infrastructure by researching and implementing innovative technologies, algorithms, and design patterns. 
• Mentorship and Coaching: Providing guidance and mentorship to junior engineers on technical best practices, code quality, and problem-solving approaches. 

Qualifications:

• Bachelor's in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field (Masters preferred).
• Strong Programming Skills: Proficiency in multiple programming languages relevant to large-scale system development (e.g., Java, C++, Python, Go).  
• System Design: Deep understanding of distributed systems design principles, including scalability, fault tolerance, and consistency.  
• Infrastructure Expertise: Familiarity with cloud computing platforms (e.g., Google Cloud Platform) and experience with large-scale data management systems.  
• 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. 

Preferred Qualifications:

• Familiarity with working with Azure and AWS cloud.
• Interest or background in legal tech or similar high precision AI application development.
• Prior experience with early-stage AI startups.
• Drive to tackle complex, novel problems.

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 profess