Description
We’re seeking an experienced Dev/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