Senior MLOps

Description We're seeking an experienced DevOps/LLMOps or MLOps/ LLMOps Engineer to design, deploy, and maintain the infrastructure supporting Large Language Model (LLM) platforms. This role blends DevOps best practices with AI/ML expertise, with a focus on building and scaling agentic AI systems that integrate directly with LLMs. You'll drive development of intelligent, autonomous agents while ensuring reliability, scalability, and performance across training, fine-tuning, and deployment pipelines. English fluency is a MUST for this role Only candidates with level C1 or C2 will be considered: A1 Beginner A2 Elementary B1 Intermediate B2 Upper-Intermediate C1 Advanced C2 Proficient Responsibilities Own strategy and execution of agentic AI systems using LLMs and autonomous decision-making components Build prototypes and scale them into MVPs demonstrating real-world AI viability Collaborate with engineering and product teams to embed LLM agents into user-facing features Design and manage CI/CD pipelines for LLM training and deployment workflows Provide technical leadership on DevOps, security, and deployment strategies for AI/ML models Requirements 5+ years building and deploying ML or GenAI systems in production, with strong architectural and systems-level ownership 2+ years of proven experience with LLM integration, LLM-based agents, or autonomous reasoning systems End-to-end AI/ML delivery: data prep, training, evaluation, deployment, monitoring Cloud expertise (AWS, GCP, or Azure) with CI/CD pipelines, multi-tenant deployments, and infrastructure automation Experience with Databricks and familiarity with Langchain / GenAI toolkits Strong agility and ability to deliver in fast-moving product environments Nice To Have Advanced degree (MS/Ph.D.) in ML, Computer Science, or related field Deep expertise in DevOps/MLOps practices and scaling secure, enterprise-grade AI workflows Broader data engineering knowledge, especially in Databricks Background in aviation industry