AI/ML Engineer with GenAI

We’re looking for an experienced AI/ML Engineer to join a team focused on developing advanced Generative AI solutions - including chatbots, AI agents, LLM-based models, and Retrieval-Augmented Generation (RAG) systems. 

Responsibilities

• Designing, developing and implementing AI/ML models in areas such as LLMs, chatbots, AI agents, and RAG.

• Integrating AI models with enterprise applications and system infrastructure.

• Analyzing large-scale datasets to train, fine-tune, and improve model performance.

• Collaborating with engineering, data science, and UX teams to deliver high-quality solutions.

• Monitoring the performance of AI systems and optimizing models in production.

• Actively participating in Agile processes, including sprints, planning sessions, and technical discussions.

Requirements

• At least 5 years of experience in AI/ML engineering within large-scale, international environments.

• Proven hands-on experience in building and deploying AI solutions, particularly LLMs, chatbots, AI agents, and RAG systems.

• Advanced understanding of NLP techniques, machine learning algorithms, and deep learning architectures.

• Proficiency in programming languages such as Python and/or Node.js, Java.

• Experience with leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain).

• Familiarity with MLOps tools (such as MLflow, Kubeflow, Airflow) and best practices in CI/CD for machine learning pipelines.

• Strong knowledge of cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).

• Experience with model fine-tuning, prompt engineering, and RLHF.

• Solid knowledge of relational and NoSQL databases and experience with large-scale data processing.

• Fluent English (C1) and ability to work effectively in a distributed, international team.

• Practical experience working in Agile/Scrum methodology.

• Certification as a PMLE (Professional Machine Learning Engineer) or equivalent qualification is required.

We offer

• Fully remote work with flexible working hours.

• Long-term collaboration on B2B contract.

• Opportunity to work on complex cloud projects for international clients.

• Professional growth in a highly skilled and supportive team.

• Collaborative and open working culture.

  
  

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