O pozici
Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in the Czech Republic.
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 Senior Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team to take technical ownership of the RAG core and vector store on a complex, enterprise-scale AI project. In this role, you will lead the Phase 0 Vector DB Proof of Concept, design and own the full retrieval pipeline, and set the RAG evaluation approach against a real production corpus. This is a high-impact position for an engineer who combines deep RAG expertise with strong engineering discipline and a passion for building AI systems that perform reliably at scale.
About the project:
You will join a team building an enterprise-scale AI Knowledge Management platform for a large European software company in the healthcare IT space. The mission is to deploy an advanced Retrieval-Augmented Generation (RAG) system that automates, structures, and synchronises critical support ticket data. The platform extends existing infrastructure including a PostgreSQL proof-of-concept at 2M documents and an SAP AI Core configuration rather than rebuilding from scratch. The core challenges are confirming the final vector DB and embedding stack, designing PII-safe multilingual ingestion, and ensuring bidirectional sync with NICE CXone as the production knowledge base, all within EU data residency and GxP/GDPR constraints.
Co budeš dělat
- Serve as technical lead for the RAG core and vector store throughout the project lifecycle
- Lead the Phase 0 Vector DB Proof of Concept evaluating, testing, and confirming the final stack before build begins
- Design and own the hybrid retrieval pipeline, including HNSW/BM25 retrieval strategies and tuning
- Build and maintain the multilingual embedding pipeline, selecting and validating appropriate embedding models for the target corpus
- Design and implement the LLM router, confidence scoring logic, and feedback loop to ensure reliable and accurate RAG outputs
- Define and own the RAG evaluation approach against the client’s real KB and support ticket corpus
- Own RAG quality end to end across all pilot PCUs, monitoring and iterating on retrieval and generation performance
- Collaborate closely with the Solution Architect on infrastructure design and integration decisions
- Work with the BA team to ensure technical solutions align with content taxonomy, schema definitions, and workflow requirements
- Apply MLOps best practices for pipeline versioning, monitoring, and continuous improvement.
- Ensure all AI components comply with GxP, GDPR, and EU data residency requirements
Koho hledáme
- 6+ years of Software/AI Engineering experience, including 3+ years specifically implementing AI/ML solutions
- Hands-on expertise architecting high-performance RAG and hybrid search systems specifically optimizing chunking strategies, embedding selection/evaluation, vector databases, and retrieval strategies
- Proven experience building generative AI architectures, agentic systems, and Large Language Models (LLMs)
- Strong proficiency in Python with the ability to integrate models seamlessly into various backend environments
- Experience managing end-to-end AI lifecycles, orchestration, and evaluation tooling using robust MLOps practices (CI/CD, pipeline versioning, monitoring, deployment automation) on cloud platforms like AWS SageMaker, Azure AI, or GCP
- Familiarity with structured AI delivery (CRISP-ML(Q), TDSP), handling complex data (time-series, anomaly detection), and data governance/compliance standards (Security, GDPR; GxP exposure is a plus)
- Understanding of probability, statistics, and ML optimization
- Strong written and verbal English communication skills
Benefity
- Strong community: Work alongside top professionals in a friendly, open-door environment
- Growth focus: Take on large-scale projects with a global impact and expand your expertise
- Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
- Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
- Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations
- Flexibility: Balance office and remote work to fit your rhythm
- Our Offices in the Czech Republic: We have three offices in Prague, Hradec Králové, and Zlín. There are no fixed office days—it all depends on your team’s agreement. Here, you’ll find a relaxed and friendly atmosphere that fosters collaboration and innovation
