Artificial Intelligence/Machine Learning Engineer

• Design and implement the multi-agent orchestration architecture end-to-end
• Build the knowledge graph and data pipelines across the 13 MVP-critical data sources
• Integrate and prompt-engineer LLMs via Azure OpenAI; implement reliability techniques (Best-of-N, two-pass chain verification, self-reflection loops, confidence gating, expert-panel consensus, deterministic tool use)
• Stand up the Azure deployment: AKS / Azure Functions, Cosmos DB / Azure SQL, Blob Storage, Entra ID SSO, App Insights monitoring
• Partner with Domain SMEs on UAT, back-testing, and sensitivity testing during Weeks 13-16, * Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance and 4 additional undocumented sick leave days
• Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications
• Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally
• Flexibility: Own your schedule - you are the one to decide when to start your working day. Just don't miss your regular team stand-up. We are there to support your work-life balance and provide 23 vacation days & short Fridays
• Opportunities: we value our specialists and always find the best options for them. Our Internal Mobility Program helps change a project if needed to help you grow, excel professionally and fulfill your potential
• Global impact: work on large-scale projects that redefine industries with international and fast-growing clients
• Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events

Must-Have Skills

• Strong production experience building multi-agent or agentic LLM systems (orchestration frameworks, tool use, RAG)
• Hands-on Azure stack proficiency: Azure OpenAI Service, AKS, Cosmos DB / Azure SQL, Blob Storage, Entra ID
• Knowledge graph design and data pipeline engineering (Python)
• Proven track record with hallucination mitigation, evaluation harnesses, and confidence scoring
• Comfortable working directly with non-technical domain experts and running technical validation cycles

Nice-to-Have

• Prior R&D, CPG, or regulated-industry deployments
• Experience with Monte Carlo / NumPy simulation sandboxes
• Background in patent/regulatory-aware AI workflows

Profile Fit

Senior, autonomous, delivery-focused - capable of owning architecture decisions and shipping a production-grade system in a tight 16-week window with significant client-side dependencies

Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in Spain. 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. Architected and built a multi-agent AI system (~12 specialized agents) supporting R&D innovation for a consumer healthcare product line (brush heads MVP) - covering new product development, event-driven concepts, and cost optimization. Sole engineering owner, collaborating with a part-time Director (QA & workshop facilitation) and domain SMEs., 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. Based in Málaga, our team thrives in one of Andalusia's leading tech hubs. Enjoy a hybrid work setup, the sunny Mediterranean vibe, and endless opportunities to grow your skills on global-scale projects.