- AI Solution Deployment: Deploy, configure, and fine-tune AI models, algorithms, and platforms to meet client-specific use cases, ensuring seamless integration with existing systems.
- Model Development & Optimization: Build, train, and optimize machine learning models (e.g., LLMs, computer vision, predictive analytics) tailored to client data and goals.
- Data Pipeline Engineering: Design and implement robust data pipelines to process and transform structured and unstructured data for AI model training and inference.
- Technical Problem-Solving: Diagnose and resolve complex AI-related issues, such as model performance bottlenecks or data quality challenges, often under tight deadlines.
- Client Collaboration: Partner with clients to understand their business objectives, data challenges, and operational needs. Translate these into AI-driven technical requirements.
- Feedback Loop: Collaborate with internal AI research and engineering teams to relay client feedback, driving improvements to models and platforms.
- AI Innovation:Identify opportunities to enhance client outcomes through advanced AI techniques, such as reinforcement learning, generative AI, or real-time inference.
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
- Technical Skills:
- Proficiency in Python and AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with large language models (LLMs), computer vision, or other advanced AI techniques.
- Strong knowledge of data engineering (SQL/NoSQL, ETL pipelines, data lakes).
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools (e.g., Kubeflow, MLflow).
- Experience with APIs, microservices, and deploying AI models at scale.
- Problem-Solving: Ability to tackle ambiguous AI challenges and deliver practical, high-impact solutions.
- Communication: Exceptional ability to explain complex AI concepts and model outputs to non-technical stakeholders.
- Adaptability: Thrives in fast-paced, client-facing environments with evolving requirements.
- Travel: Willingness to travel to client sites as needed (up to 20% of the time, depending on role requirements).
- Experience: 4+ years in AI engineering, machine learning, or client-facing technical roles. Experience deploying AI solutions in production is a plus.
- Experience in industries like healthcare, finance, defense, or logistics, where AI drives decision-making.
- Familiarity with generative AI, reinforcement learning, or real-time AI inference systems.
- Prior experience in consulting or deploying AI solutions in a SaaS/enterprise environment.
- Knowledge of DevOps practices for AI (e.g., CI/CD for ML models, containerization with Docker/Kubernetes).
- 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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Compensation Range: $130,000 - $200,000
The posted salary range is based on our research for companies of our stage and size while in compliance with California law. This is a base salary compensation range and we encourage those who are interested to apply and have an initial discussion.
Top Skills
What We Do
The Eudia Augmented Intelligence Platform elevates the role of legal with bespoke AI solutions that eliminate routine work and illuminate previously unseen insights. By combining the power of a best-in-class LLM with expert, human-in-the-loop deployment, Eudia empowers legal teams to:
Deliver greater business value by surfacing revenue opportunities, aligning risk incentives, and more.
Work more efficiently and accurately, including optimizing external counsel spend.
Stop the toil of menial legal tasks, allowing valuable, knowledgeable lawyers to focus on the most rewarding parts of their job.
Ultimately, AI is how tomorrow’s legal team will transcend the tug-of-war between working at the speed of the business and eliminating risk, allowing legal teams to deliver billions in business value. But only Eudia stands ready to offer the co-created, trustworthy platform that in-house legal teams require.
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