Ciklum
Expert AI Engineer
- Compensation
- Not disclosed
- Location
- Romania
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Ai engineering
- Posted
Skills
Nice to have
- Strong background in software or solution architecture, ideally with previous experience as a Software or Data Architect
- Proven ability to design scalable, distributed, and fault-tolerant AI architectures, integrating APIs, microservices, and event-driven components
- Experience with MLOps and LLMOps practices, including pipeline automation, containerization (Docker, Kubernetes), and continuous deployment of AI models
- Deep learning expertise using TensorFlow, PyTorch, or JAX, including fine-tuning and optimization of large models
- Hands-on experience with Large Language Models (LLMs), Generative AI applications, and agentic or RAG-based systems
- Advanced SQL and familiarity with modern data platforms (Databricks, Snowflake, or equivalent)
- Experience with Big Data and streaming frameworks (Apache Spark, Kafka, Flink, etc.)
- Understanding of NoSQL and graph databases (e.g., Cassandra, Neo4j) and their role in AI knowledge management
- Experience with cloud-native architectures and certified expertise in AWS, Azure, or GCP AI/ML services
- Exposure to research or innovation projects, with publications or open-source contributions considered an advantage
Full description
Ciklum is looking for an Expert AI Engineer to join our team full-time in Romania.
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 an Expert AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.
Responsibilities:
- Lead the design, development and deployment of advanced AI systems across Data Science and AI Engineering domains
- Architect and implement scalable AI pipelines and LLM-driven applications, including retrieval-augmented generation (RAG), orchestration and multi-agent systems
- Serve as the technical authority during client engagements, ensuring architecture quality, scalability, performance and reliability
- Contribute hands-on to development activities, from experimentation and prototyping to production-grade implementation
- Collaborate with cross-functional engineering, data, and product teams to align technical solutions with client and business objectives
- Apply MLOps and LLMOps best practices for CI/CD, observability, evaluation and continuous improvement of AI models and pipelines
- Integrate AI services with enterprise platforms (e.g., Confluence, Jira, GitHub, CRM, ERP) and ensure seamless interoperability
- Drive innovation through internal frameworks and accelerators
- Ensure all AI solutions comply with security, data privacy and responsible-AI standards
- Mentor engineering peers and support knowledge sharing across teams and practices (e.g., contributing to Ciklum’s AI Academy)
Commercial / Presales:
- Act as technical SME in presales conversations, translating business challenges into viable AI engineering solutions
- Partner with delivery and account teams to shape long-term client engagement strategies based on engineering excellence
Internal resource management / team building and management:
- Support recruitment efforts through technical assessments, interviews, and candidate evaluation
- Mentor team members and contribute to cross-skilling initiatives within the AI and Engineering service lines
- Uphold engineering excellence by promoting best practices, code quality, and delivery standards across projects
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!