AI Ops Engineer

Description: Join an enterprise AI initiative focused on transforming Infrastructure & Operations through Generative AI and intelligent automation. Hands-on engineering role requiring backend/software engineering and systems integration experience, particularly with LLMs and modern AI tools. Requirements: 3–5 years of relevant engineering experience, with 1–2 years in Generative AI/LLMs and 2–3 years in backend software development, Python, or AIOps. Strong programming skills in Python, experience with RESTful APIs, and practical knowledge of LLMs and agentic AI frameworks. Familiarity with enterprise IT platforms like ServiceNow, Dynatrace, Zabbix, and GCP, and understanding of AI safety and data governance principles. Benefits: Competitive salary, performance bonuses, and share plan. Career development opportunities, training, and flexible working hours. Comprehensive health benefits, including medical, dental, and vision coverage, along with a 401(k) plan.