Ciklum is looking for a Expert Agentic AI Engineer to join our team full-time in the UK .
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live
About the role:
As a Expert Agentic AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.
Responsibilities:
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Design, build, train, and deploy production-grade Machine Learning, Deep Learning, or Natural Language Processing (NLP) models
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Optimize ML models for enterprise-scale latency, throughput, and performance, ensuring flawless integration with data warehouses and automated workflow bots
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Partner with Data Engineers to engineer high-quality data pipelines, automated feature stores, and secure data preprocessing routines
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Establish and scale MLOps workflows to handle model lineage tracking, code versioning, automated validation gates, and continuous deployment pipelines
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[Expert Level Focus] Set the core technical direction for AI engineering across squads, evaluate emerging AI methodologies, and provide high-level mentorship to senior team members
Requirements:
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5+ years (Senior) or 8+ years (Expert) of professional experience developing, shipping, and maintaining machine learning models in live production environments
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Agentic Frameworks: Hands-on experience building autonomous workflows, custom plugins, and orchestration logic using Microsoft Copilot Studio or semantic kernels
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Cloud AI Infrastructure: Proven experience deploying and fine-tuning generative AI models, prompt flow, and vector databases within Azure AI Foundry (formerly Azure AI Studio)
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Tool Integration: Strong background in connecting LLMs to external APIs, enterprise data sources, and robotic process automation (RPA) tools to enable autonomous action execution
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Elite proficiency in Python paired with extensive experience using core ML libraries and frameworks (such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face)
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Hands-on experience working with MLOps tracking tools and cloud-based AI infrastructure ecosystems (such as MLflow, Kubeflow, AWS SageMaker, or Azure ML)
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Strong computer science fundamentals, including advanced knowledge of data structures, algorithmic complexity, and clean code principles.
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a formal degree in Computer Science, Data Science, Mathematics, or a highly quantitative field is strongly preferred.
What`s in it for you?
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Strong community: Work alongside top professionals in a friendly, open-door environment
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Growth focus: Take on large-scale projects with a global impact and expand your expertise
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Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
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Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
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Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company’s Benefit Plans
About us:
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the UK, Ciklum is growing fast—inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.
Explore, empower, engineer with Ciklum!
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