Overview
As Senior AI Engineer at Kainos, you’ll deliver state-of-the-art AI solutions and drive adoption of modern frameworks and scalable cloud-native architectures. You’ll work hands-on with customers to translate challenges into trustworthy AI, while upholding responsible AI practices. You’ll mentor colleagues to foster innovation and engineering excellence in a fast-paced, collaborative AI practice. This role offers the chance to shape impactful AI at citizen scale within a leading AI and data business.
Responsibilities
- Deliver advanced AI solutions using machine learning, generative, and agentic AI technologies
- Drive adoption of modern AI frameworks, AIOps practices, and scalable cloud-native architectures
- Lead hands-on technical delivery and collaborate with customers to translate business challenges into trustworthy AI
- Ensure responsible AI practices, ethics, and interpretability throughout projects
- Mentor and support junior developers, promoting a culture of learning and engineering excellence
- Make sound, reasoned decisions in a fast-paced environment while staying updated on new technologies
Key requirements
- 2.1 degree in Computer Science, AI, Data Science, Statistics or related quantitative field
- Production deployment experience for modern AI/ML solutions including prompt engineering, RAG, model evaluation, and monitoring
- Strong Python skills with software engineering best practices (CI/CD, testing, code reviews)
- Experience building scalable AI solutions on Azure and AWS; Kubernetes and Docker for container orchestration
- Expertise in data engineering for AI with handling of large-scale, unstructured, multimodal data
- Understanding of responsible AI principles, model interpretability, and ethical considerations
- Strong interpersonal skills and team collaboration
- interpersonal skills
- teamwork
- mentoring
- PyTorch
- TensorFlow
- scikit-learn
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