ML / GenAI Engineer

ML / GenAI Engineer (LLM, RAG & Secure AI Platforms)

🌍 Location: Eastern Europe preferred (other locations may be considered)

🗣️ Language: English C1 (mandatory)

🛡️ Nationality: NATO nationality mandatory

🔒 Security Clearance: PSC required (active PSC is a strong advantage)

About the Role

We are looking for talented ML / Generative AI Engineers to join an international team delivering secure AI solutions within a mission-critical environment. You will play a key role in designing, deploying, and operating Large Language Model (LLM) platforms, Retrieval-Augmented Generation (RAG) solutions, and containerized AI workloads running on GPU-enabled infrastructure.

This role is ideal for professionals with hands-on experience in modern AI ecosystems, MLOps practices, and secure deployment environments.

Key Responsibilities

• Design, deploy, and maintain LLM hosting platforms for enterprise and mission-critical use cases.
• Build and optimize RAG (Retrieval-Augmented Generation) architectures and knowledge retrieval pipelines.
• Develop and operate secure inferencing environments for AI applications.
• Deploy and manage GPU-based workloads in containerized environments.
• Implement MLOps best practices, including model deployment, monitoring, versioning, and lifecycle management.
• Collaborate with data scientists, platform engineers, and security teams to deliver scalable AI solutions.
• Optimize model performance, latency, and infrastructure utilization.
• Ensure compliance with security, governance, and operational requirements.
• Contribute to technical documentation, automation, and continuous improvement initiatives.

Required Skills & Experience

✅ Strong experience with Machine Learning and Generative AI platforms

✅ Hands-on experience deploying and managing Large Language Models (LLMs)

✅ Proven experience implementing RAG architectures and vector database solutions

✅ Experience with secure AI inferencing environments

✅ Strong knowledge of Docker, Kubernetes, OpenShift, or similar container orchestration platforms

✅ Experience running GPU-accelerated workloads (NVIDIA ecosystem preferred)

✅ Knowledge of Python and modern AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, or similar

✅ Familiarity with MLOps and CI/CD practices

✅ Excellent communication skills in English (C1+)

Mandatory Requirements

• NATO nationality
• English C1 or higher
• Eligibility to obtain PSC security clearance

Nice to Have

• Active PSC Security Clearance
• Experience with self-hosted open-source LLMs (Llama, Mistral, DeepSeek, Falcon, etc.)
• Experience with vector databases such as Pinecone, Weaviate, Milvus, or OpenSearch
• Knowledge of secure or air-gapped AI environments
• Cloud certifications (Azure, AWS, Google Cloud)
• Kubernetes, NVIDIA, or MLOps certifications
• Experience in defense, government, or highly regulated environments

What We Offer

• Opportunity to work on cutting-edge AI and Generative AI initiatives
• International and highly secure working environment
• Exposure to advanced LLM, RAG, and AI infrastructure technologies
• Long-term project with significant growth opportunities
• Competitive compensation package