hackajob · 20 hours ago
Senior AI Engineer
hackajob is collaborating with Kainos to connect them with exceptional tech professionals for this role. As a Senior AI Engineer at Kainos, you will deliver advanced AI solutions leveraging state-of-the-art machine learning and generative AI technologies while driving the adoption of modern AI frameworks and ensuring responsible AI practices.
Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware
Responsibilities
Deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies
Drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures
Involve in hands-on technical delivery, collaborating with customers to translate business challenges into trustworthy AI solutions
Ensure responsible AI practices throughout
Foster a culture of innovation, continuous learning, and engineering excellence as a technical mentor
Support colleagues and more junior developers, providing direction support as you solve challenging problems together
Qualification
Required
A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field
Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection)
Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc)
Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker
Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data
Understanding of responsible AI principles, model interpretability, and ethical considerations
Strong interpersonal skills and team working
Preferred
Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost)
Experience with data storage for AI, vector databases, semantic search, and knowledge graphs
Contributions to open-source AI projects or research publications
Familiarity with AI security, privacy, and compliance standards e.g. ISO42001
Company
hackajob
The AI-native tech hiring platform trusted by enterprises, scale-ups, and 1M+ tech professionals worldwide.
Funding
Current Stage
Growth StageTotal Funding
$33MKey Investors
Volition CapitalDowning VenturesTechstars
2023-05-03Series B· $25M
2018-10-25Series A· $6.7M
2017-03-31Seed· $0.58M
Recent News
2025-10-23
2025-09-26
2025-09-12
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