LawPavilion Business Solutions is the No1 African Provider of LegalTech and Artificial Intelligence solutions. Boasting of an impressive suite of products for Legal Practitioners, Judges, Academics and Students. LawPavilion uses IT to improve how the law is practised in Nigeria and Africa at large.
- 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.
Method of Application
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