AI Engineer

Key Responsibilities

• Design, develop and deploy AI-powered applications and solutions.
• Develop solutions using Large Language Models (LLMs), NLP and semantic models.
• Fine-tune and evaluate LLMs, including analysing model quality, limitations and failure modes.
• Build automated AI pipelines covering training, testing, deployment and monitoring.
• Develop and integrate LLM-based applications and services.
• Build and integrate REST APIs and backend services.
• Work with structured and unstructured data using SQL/NoSQL technologies.
• Develop scalable data and AI architectures.
• Work with cloud platforms and containerised environments.
• Support GPU orchestration and optimise AI infrastructure and costs.
• Implement CI/CD and DevOps practices for AI applications.
• Monitor and troubleshoot AI solutions to ensure reliability and performance.
• Stay updated with the latest AI technologies and incorporate relevant advancements into solutions.
• Work closely with customers, stakeholders and technical teams to understand requirements and deliver practical AI solutions.

Must-Have Requirements

• Minimum 4 years of relevant experience in AI Engineering, Machine Learning, Data Engineering or related fields.
• Strong proficiency in Python.
• Hands-on experience with LLMs, NLP or semantic models.
• Experience with LLM fine-tuning and evaluation.
• Understanding of model quality, performance and failure modes.
• Experience building automated AI pipelines for training, testing, deployment and monitoring.
• Familiarity with cloud platforms and containerisation.
• Strong analytical and problem-solving skills.
• Ability to build robust, reliable and maintainable software solutions.
• Strong communication and customer-focused approach.

Work Location: In person