Artificial Intelligence - AI Engineer at LawPavilion Business Solutions

About the Role:

• Are you passionate about artificial intelligence and its potential to transform industries? Join us at the forefront of legal innovation as we build cutting-edge solutions that are redefining the delivery of legal services across Africa.
• As an AI Engineer, you will be responsible for designing, developing, and deploying AI/ML solutions within our suite of legal tech products. You will work with a multidisciplinary team of software engineers, product managers, and legal professionals to translate legal processes and data into innovative, scalable AI-driven applications.

Key Responsibilities:

• Design, train, and optimize machine learning models for natural language processing (NLP), information extraction, document classification, and legal search.
• Collaborate with product teams to integrate AI solutions into production systems.
• Perform data preprocessing, annotation, and feature engineering on legal datasets.
• Research and implement state-of-the-art AI models aligned with product needs.
• Continuously monitor and improve the performance and scalability of deployed AI models.
• Ensure model interpretability, explainability, and ethical AI compliance.
• Contribute to building data pipelines and tools to support AI development.

Qualifications and Skills:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
• 2+ years of hands-on experience in AI/ML engineering, with a strong preference for experience in NLP and transformer-based models.
• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with NLP libraries and frameworks such as spaCy, NLTK, Hugging Face Transformers, and OpenAI libraries.
• Demonstrated experience building and deploying Generative AI (GenAI) solutions, including text generation, summarization, and conversational agents.
• Practical experience implementing Retrieval-Augmented Generation (RAG) pipelines by combining LLMs with vector databases to deliver context-aware responses.
• Familiarity with deploying and managing AI models using REST APIs, Docker containers, and cloud-based platforms (AWS, GCP, Azure).
• Solid understanding of data structures, algorithms, and fundamental software engineering principles.
• Experience with vector databases such as Milvus DB, Pinecone, or similar platforms.
• Previous work with large-scale text-based or legal datasets will be considered a significant advantage.
• Excellent analytical, problem-solving, and collaborative teamwork abilities.