Senior Artificial Intelligence/Machine Learning Engineer

Ciklum

Remote, Czech Republic

About the role:

As a Senior Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. 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. Architected and built a multi-agent AI system (~12 specialized agents) supporting R&D innovation for a Fortune 500 Consumer Health leader. Led the MVP development for a key personal care product line, covering new product development, event-based launches, and cost optimization. Sole engineering owner of the build, working alongside a 0.5 FTE Director (QA & workshop moderation) and P&G SMEs.

Responsibilities:

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 P&G SMEs on UAT, back-testing, and sensitivity testing during Weeks 13–16

Requirements:

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