×
Register Here to Apply for Jobs or Post Jobs. X

Expert AI Engineer

Job in Romania, Somerset County, Pennsylvania, USA
Listing for: Ciklum
Full Time position
Listed on 2026-03-01
Job specializations:
  • Engineering
    AI Engineer, Data Engineer
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Romania

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, Git Hub, 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)
  • 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!

General technical requirements:
  • 8+ years of professional experience in software, data, or AI engineering, including at least 3–4 years of hands‑on experience designing and implementing AI/ML solutions
  • BSc, MSc, or PhD in Computer Science, Mathematics, Engineering, or a related quantitative field
  • Deep understanding of probability, statistics, and the mathematical foundations of machine learning and optimization
  • Proven experience building and deploying advanced AI systems, including Large Language Models (LLMs), multimodal, and generative AI architectures
  • Exposure to agentic system design, retrieval-augmented generation (RAG) and prompt engineering techniques
  • Strong proficiency in Python and common AI/ML development frameworks (e.g., PyTorch, Tensor Flow, Lang Chain, Hugging Face or equivalent)
  • Solid understanding of modern AI engineering practices, including model lifecycle management, observability, evaluation, versioning and continuous improvement
  • Familiarity with AI solution delivery methodologies (e.g., CRISP-ML(Q), TDSP or modern agile ML life cycles)
  • Ability to visualize, interpret, and communicate model outputs and insights effectively using modern tools and dashboards
Specific technical requirements:
  • Proven experience in architecting and implementing end‑to‑end AI/ML solutions — from data ingestion and model training to deployment, monitoring and optimization
  • Strong software engineering skills for AI system development, including data processing, API integration, and model serving (Python, SQL and optionally Java/Scala or similar)
  • Hands‑on experience with cloud‑native AI platforms and services (AWS Sage Maker, Azure ML, GCP Vertex AI or NVIDIA AI…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary