Overview
We are seeking a highly skilled Generative AI Operations Engineer (GenAI Ops) to join our cutting-edge AI team. The ideal candidate will have strong expertise in operationalizing large-scale generative AI systems, building CI/CD pipelines, and managing AI agent infrastructures across cloud environments. You will play a key role in ensuring the scalability, security, and performance of multi-agent AI systems and generative applications.
- Design, implement, and maintain automated CI/CD pipelines for the development, training, and deployment of Large Language Models (LLMs) and AI agents
- Build and manage agentic AI systems, ensuring efficient agent-to-agent collaboration and orchestration of complex workflows
- Integrate AI agents with external tools and APIs using modern standards such as the Model Context Protocol (MCP)
- Leverage AI-powered development tools to streamline software delivery, infrastructure management, and troubleshooting processes
- Define and manage cloud infrastructure for GenAI workloads using Infrastructure as Code (IaC) tools such as Terraform, AWS CDK, or CloudFormation
- Implement monitoring and observability solutions for models, agents, and system health using tools like Prometheus, Grafana, or Datadog
- Optimize scalability, performance, and cost-efficiency of GenAI services in production environments
- Enforce AI security, safety, and governance practices, ensuring compliance with organizational and industry standards
- Minimum 3 years of experience in DevOps, Site Reliability Engineering (SRE)
- Minimum 1 year of experience in MLOps roles with a strong focus on cloud infrastructure
- Proven experience with AWS, Google Cloud, or Azure
- Proficiency in Python or Bash, and experience with containerization/orchestration tools such as Docker and Kubernetes
- Strong background in building and maintaining CI/CD pipelines using Jenkins, GitLab CI, or similar tools
- Experience with cloud-native GenAI platforms (e.g., AWS Bedrock, Azure AI Foundry, Google Vertex AI)
- Familiarity with LLM architectures and the challenges of deploying large-scale models
- Experience designing or managing multi-agent systems and orchestrated AI workflows
- Hands-on experience implementing infrastructure using IaC frameworks
- B2+ level of English proficiency
- Delivering innovative solutions to industry leaders, making a global impact
- Enjoyable working environment, whether it is the vibrant office or the comfort of your home
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 55+ countries
- Corporate and social events
- Leadership development, career advising, soft skills and well-being programs
- Certifications, including GCP, Azure and AWS
- Unlimited access to LinkedIn Learning and Udemy
- Free English classes with certified teachers
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Comprehensive medical & family care package
- Four trust days per year for personal needs
- Discounts for fitness clubs
- Benefits package (hotels, restaurants, stores and services)
- Master’s or PhD in Computer Science, AI, or related field
- Relevant cloud or DevOps certifications (e.g., AWS Certified DevOps Engineer, Google Cloud Professional DevOps Engineer)
- Strong problem-solving mindset and ability to thrive in a fast-paced, innovative environment
- Generative AI Operations
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