Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in Slovakia.
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.
Responsibilities:
- 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
Requirements:
We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit!
- 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
What’s in it for you?
- Strong community: Work alongside top professionals in a friendly, open-door culture that values initiative and empowers its people to succeed
- Fast-paced & agile environment: Be part of a dynamic, fast-moving organization that champions efficiency and innovation
- Global exposure: Collaborate with international, cross-functional teams and contribute to large-scale initiatives
- Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
- Flexibility: Balance office and remote work to fit your rhythm
- Care: Take advantage of our extensive benefits offering, aligned with the best market standards
The salary starts from 3300 Eur gross. The final salary depends on the previous experience and professional knowledge of the candidate.
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.
Our Slovakia hub brings together passionate professionals working on global initiatives. Be part of a close-knit team that’s driving digital transformation and creating lasting impact.
Explore, empower, engineer with Ciklum!
Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.
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