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, and DHL. 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.
Augmented Engineer Eudia is seeking an Augmented Engineer (AE) who will work directly with clients to deploy, configure, and optimize our Augmented Intelligence Platform to address mission-critical workflows. You will act as a technical bridge between our engineering teams and clients, combining deep technical expertise with strong problem-solving and communication skills. This role requires adaptability, creativity, and a passion for delivering impactful solutions in dynamic, high-stakes environments.
Key Responsibilities:
- Solution Deployment: Build, deploy, configure, and customize our software to meet client-specific use cases, ensuring seamless integration with existing systems and data sources.
- Technical Problem-Solving: Troubleshoot and resolve complex technical issues on-site or remotely, often under tight deadlines, to ensure client success.
- Client Engagement: Collaborate closely with clients to understand their operational challenges, workflows, and objectives. Translate these needs into technical requirements for our software platform.
- Cross-Functional Collaboration: Partner with Augmented Strategists, backend engineers, and designers to relay client feedback and drive product improvements.
- Continuous Improvement: Identify opportunities to optimize customer workflows, enhance platform performance, and deliver measurable value.
Qualifications:
- Education:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Technical Skills:
- Proficiency in programming languages such as Python, Java, or JavaScript.
- Experience with databases (SQL/NoSQL), APIs, and data integration tools.
- Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
- Comfortable working with complex, large-scale systems and ambiguous technical environments.
- Problem-Solving:
- Strong analytical skills with a knack for breaking down complex problems into actionable solutions.
- Communication:
- Exceptional verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Adaptability:
- Thrives in fast-paced, ambiguous environments and can pivot quickly to address evolving client needs.
- Travel:
- Willingness to travel to client sites as needed.
- Experience:
- 4+ years of experience in software engineering, consulting, or a client-facing technical role. Prior experience in data-intensive environments is a plus.
Preferred Qualifications:
- Experience working in industries such as legal, government, or finance.
- Familiarity with big data technologies (e.g., Hadoop, Spark) or machine learning frameworks.
- Prior consulting or deployment experience in a SaaS or enterprise software environment.