Aderant is looking to drive the legal industry to the forefront of innovation by providing comprehensive business management solutions for law firms and other professional services organizations, and the AI Engineer role is intended to help achieve this goal by designing, developing, and deploying AI-powered solutions.
Requirements
- Strong programming skills in Python (experience with TensorFlow, PyTorch, or similar frameworks).
- Hands-on experience with LLMs, NLP, or other modern AI technologies.
- Knowledge of cloud-based AI/ML services (AWS Sagemaker, Azure ML, Vertex AI).
- Solid understanding of data engineering concepts, including ETL pipelines and data APIs.
- Ability to work in agile teams, rapidly prototype, and iterate solutions.
- Experience with AI/ML engineering, data science, or related fields.
- Familiarity with state-of-the-art AI frameworks and tools (LangChain, Hugging Face, OpenAI, etc.)
Responsibilities
- Build, train, evaluate, and deploy machine learning and generative AI models.
- Design and implement scalable pipelines for data preparation, model training, and inference.
- Develop APIs, services, and integrations that embed AI capabilities into business applications.
- Experiment with state-of-the-art AI frameworks and tools (LangChain, Hugging Face, OpenAI, etc.) to deliver innovative solutions.
- Collaborate with product and engineering teams to identify opportunities and integrate AI features.
- Monitor model performance and continuously improve systems through retraining, fine-tuning, and optimization.
- Contribute to documentation, knowledge sharing, and technical standards for AI adoption.
Other
- Bachelor’s or Master’s in Computer Science, Data Science, or related discipline.
- 1-3 years of experience in AI/ML engineering, data science, or related fields.
- Ability to work in agile teams, rapidly prototype, and iterate solutions.
- Ability to collaborate with product and engineering teams to identify opportunities and integrate AI features.
- Ability to contribute to documentation, knowledge sharing, and technical standards for AI adoption.
