AI Ops Engineer

• Experience in AI Development, MLOps, or a similar role with a focus on AI/ML operations.
• Proficiency in Python for scripting, automation, and backend development.
• Hands-on experience with agentic tools or frameworks (e.g., LangChain, AutoGen, or similar concepts for building autonomous agents).
• Solid experience integrating AI agents with various data sources, including Elasticsearch, SQL and NoSQL databases, as well as platforms like Jira, Confluence (Wiki), and Git
• Demonstrable experience with AWS operational support, including a deep understanding of core AWS services.
• Proficiency in Infrastructure as Code (IaC) using either Terraform or Ansible.
• Experience with CI/CD pipelines and version control systems (e.g., Git).
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
• Strong communication and collaboration abilities, with the capacity to explain complex technical concepts to diverse audiences.
• Ability to work independently and as part of a cross-functional team in a fast-paced environment.

Axelon Services