Overview We are seeking a highly skilled and innovative Automation Engineer with expertise in IT Infrastructure and Application Support, combined with hands-on experience in Generative AI (GenAI), Large Language Models (LLMs), and Python development. The ideal candidate will drive automation initiatives, enhance operational efficiency, and build intelligent solutions leveraging AI/ML to transform traditional support models into proactive and self-healing systems. Responsibilities Key Responsibilities: Automation & Engineering Design, develop, and implement automation solutions for IT infrastructure and application support processes. Build and maintain Python-based automation scripts, tools, and frameworks. Develop self-healing mechanisms to proactively detect and resolve system issues. GenAI / LLM Integration Develop and integrate solutions using Generative AI and LLMs (e.g., chatbots, copilots, knowledge assistants). Implement AI-driven incident management, root cause analysis, and ticket resolution workflows. Fine-tune and optimize LLMs for enterprise use cases such as ITSM, monitoring, and operations. I nfrastructure & Application Support Manage and support enterprise infrastructure environments (servers, storage, virtualization, cloud). Monitor application performance and ensure high availability and reliability. Collaborate with cross-functional teams to troubleshoot and resolve complex issues. Operational Excellence Identify opportunities to reduce manual effort and improve service delivery through automation. Create dashboards, reports, and insights for operational metrics. Ensure adherence to SLA, compliance, and security standards. Collaboration & Innovation Work closely with Infra and Application support teams to implement intelligent automation solutions. Stay updated with emerging trends in AI, automation, and IT operations (AIOps). Contribute to knowledge sharing and best practices within the team. Requirements Required Skills & Qualifications: Technical Skills Strong proficiency in Python (automation, scripting, API integration). Hands-on experience with GenAI / LLM frameworks (e.g., OpenAI, LangChain, Hugging Face) and Agentic AI. Experience with ITSM tools (ServiceNow, Remedy, etc.). Knowledge of Linux/Windows systems, networking, and cloud platforms (AWS, Azure, GCP). Experience in monitoring tools (Prometheus, Grafana, Splunk, Dynatrace, etc.). AI & Automation Experience building AI-powered chatbots, copilots, or automation tools. Understanding of prompt engineering, embeddings, vector databases, and RAG architecture. Exposure to AIOps and intelligent automation frameworks. Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management. Ability to work in a fast-paced, collaborative environment.