Engineer - Artificial Intelligence

• Design and implement AI/ML models - including Large Language Models - to solve real business challenges
• Build scalable, efficient AI systems and pipelines optimised for LLM workloads
• Select and apply the right tools, frameworks, and platforms (e.g. AWS Bedrock, Snowflake Cortex)
• Write clean, testable code and apply best practices in LLM development and prompt engineering
• Optimise model performance, scalability, and efficiency to meet enterprise demands
• Prepare, manage, and secure data - from preprocessing to storage - for AI and LLM training
• Deploy and integrate AI solutions across cloud, on-premise, and edge environments, including API development
• Stay ahead of AI/LLM advancements, pilot new technologies, and identify innovative use cases
• Collaborate with data scientists, engineers, and product teams, and communicate insights clearly to all audiences
• Apply responsible AI practices, addressing bias, transparency, and compliance in all solutions

• Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field
• Demonstrated experience with Large Language Models (LLMs) and Natural Language Processing (NLP) is highly preferred
• Proven experience with a range of machine learning algorithms (e.g., regression, classification, clustering, deep learning, NLP, computer vision), including experience with LLM architectures and techniques
• Experience with deep learning frameworks such as TensorFlow, PyTorch, Keras, etc., especially in the context of NLP and LLMs
• Experience with cloud platforms and deploying AI solutions in cloud environments is required, with specific experience on platforms like AWS Bedrock and Snowflake Cortex being a significant advantage
• Strong programming skills in languages such as Python, Java, or C++, with proficiency in NLP libraries (e.g., spaCy, NLTK, Transformers library) essential
• Experience with data processing and manipulation tools and libraries (e.g., Pandas, NumPy, Spark), particularly for text data processing
• Familiarity with software engineering principles, DevOps practices, and version control systems (e.g., Git)

Specialisation in Natural Language Processing or Machine Learning with a focus on LLMs is a plus

• Quarterly wellness days to recharge
• Four weeks Workcation per year – work from an approved country
• Take the opportunity to purchase up to four weeks additional annual leave per year
• Learn from the best and upskill with PEXA Academy certifications and grow your career