Expert Artificial Intelligence/Machine Learning Engineer

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in România
Remote
Expert/Leader
Information Technology • Consulting
The Role
Lead the architecture, development, deployment, and governance of enterprise AI systems, including LLM applications, multimodal models, RAG, and multi-agent systems. Build production-grade pipelines, establish LLMOps practices, support presales discovery, ensure security and reliability, and mentor engineers. Collaborate with product and data teams to align AI delivery with business goals.
Summary Generated by Built In

Ciklum is looking for an Expert Artificial Intelligence/Machine Learning 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 Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. Together, we will work on the project Phase 2 Customer Expansion: Design, build, and deploy the next-generation, customer-facing RemitIntel Application.

Responsibilities:

  • System Architecture: Lead the end-to-end design and deployment of scalable AI systems, specifically focusing on LLM-driven applications, Multi-Agent systems, and Retrieval-Augmented Generation (RAG)
  • Technical Governance: Serve as the primary technical authority for clients, ensuring all AI solutions meet enterprise-grade standards for performance, security, and reliability
  • Hands-on Development: Drive the full development lifecycle from initial experimentation and rapid prototyping to production-grade implementation
  • Strategic Presales: Act as a Technical SME during discovery phases, translating business challenges into viable AI roadmaps and engineering solutions
  • Operational Excellence (LLMOps): Establish best practices for CI/CD, model observability, and automated evaluation to ensure continuous improvement of deployed models
  • Cross-Functional Leadership: Collaborate with Product and Data teams to align technical delivery with business KPIs, while mentoring junior engineers through code reviews and internal workshops

Requirements:

  • Professional Background: 8+ years in software, data, or AI engineering, featuring at least 3–4 years of direct experience architecting and implementing AI/ML solutions
  • Academic Foundation: BSc, MSc, or PhD in Computer Science, Mathematics, or a related quantitative field, with a deep command of probability, statistics, and machine learning optimization
  • AI & Generative AI Expertise: Proven track record in building and deploying advanced AI systems, including Large Language Models (LLMs), Multimodal architectures, RAG, and Agentic systems
  • Engineering Proficiency: Expert-level Python skills and mastery of frameworks such as PyTorch, TensorFlow, LangChain, and Hugging Face
  • Cloud & Infrastructure: Hands-on experience with cloud-native AI stacks (AWS SageMaker, Azure ML, or GCP Vertex AI) and enterprise data platforms
  • Operational Excellence (LLMOps): Proficiency in modern AI engineering practices, including CI/CD, model versioning, observability, and evaluation methodologies (e.g., CRISP-ML(Q))
  • Full-Stack AI Delivery: Experience architecting end-to-end pipelines—from data ingestion and API integration to production-grade model serving and optimization
  • Data Sophistication: Ability to handle diverse modalities (text, image, audio) and complex scenarios such as time-series forecasting and anomaly detection
  • Governance & Security: Strong understanding of security, data privacy (GDPR/CCPA), and ethical AI frameworks within enterprise system design

What’s in it for you?

  • 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
  • Enjoy radical flexibility – work remotely or from an office, your choice
  • Care: Medical subscription to Regina Maria, meal tickets of 40 ron net/day worked

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.

In Romania, we welcome top-tier tech talent — whether from our Bucharest office or fully remotely. Tap into deep industry knowledge, grow your career, and make an impact in an empowering environment.

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.

#LI-SM1

Skills Required

  • 8+ years of experience in software, data, or AI engineering
  • 3–4 years of direct experience architecting and implementing AI/ML solutions
  • BSc, MSc, or PhD in Computer Science, Mathematics, or a related quantitative field
  • Strong knowledge of probability, statistics, and machine learning optimization
  • Experience building and deploying LLM, multimodal, RAG, and agentic AI systems
  • Expert-level Python skills
  • Mastery of PyTorch, TensorFlow, LangChain, and Hugging Face
  • Hands-on experience with AWS SageMaker, Azure ML, or GCP Vertex AI
  • Experience with enterprise data platforms
  • Proficiency in CI/CD, model versioning, observability, and AI evaluation methodologies
  • Experience architecting end-to-end AI pipelines, including data ingestion, API integration, model serving, and optimization
  • Ability to work with text, image, and audio modalities
  • Experience with time-series forecasting and anomaly detection
  • Understanding of security, data privacy, and ethical AI frameworks
  • Experience with GDPR and CCPA requirements
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The Company
HQ: London
2,995 Employees
Year Founded: 2002

What We Do

Ciklum is a global Digital Solutions Company for Fortune 500 and fast-growing organisations alike around the world. The company is headquartered in London and has software development centres and branch offices in the United States, Spain, Switzerland, Denmark, Israel, Poland, Ukraine, Czech Republic, Slovakia, Romania, UAE and Pakistan. Ciklum builds tailored digital solutions that leverage emerging technologies for such clients as Just Eat, Flixbus, Metro Markets, EFG International, Zurich Insurance, Lottoland and others. For more information about us visit www.ciklum.com

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