AI Support Engineer
8 hours ago
Job Title: AI Support EngineerCompany: Power Cozmo ( India & Jordan)Location: MohaliJob Type Full-Time | On-siteCandidate must be willing to travel to Amman, Jordan immediately.Experience 3+ Years (Mandatory)Job Summary: We are looking for a hands-on Support Engineer who will act as a Kubernetes maintainer and support engineer for our production AI and data systems. The role requires strong experience in data scraping / crawling systems. Kubernetes operations, Python-based automation, Github workflows and local LLM infrastructure. You will support mission-critical environments involving LLM workloads, data scraping pipelines, and containerized microservices.Key ResponsibilitiesKubernetes & Infrastructure Support• Deploy, manage, and support production-grade Kubernetes clusters• Troubleshoot pod, node, networking, and storage issues in live environments• Manage Helm charts, ConfigMaps, Secrets, and Kubernetes manifests• Manage infrastructure and application deployments via Git repositoriesLocal LLM & AI Platform Support• Support local LLM deployments (Ollama, Mistral, LLaVA, Qwen, etc.)• Troubleshoot inference performance, memory issues, and model loading failures• Support AI services exposed via REST APIs or internal microservicesData Scraping & Crawling• Support and maintain web scraping and crawling pipelines• Debug data extraction failures, rate limits, and anti-bot challenges• Ensure data quality, consistency, and pipeline reliability• Assist in scheduling and monitoring crawlers (cron jobs)System Monitoring & Incident Support• Perform root cause analysis for production incidents• Monitor logs, metrics, and alerts using tools like Prometheus, Grafana • Maintain uptime and SLAs for AI and data platforms• Participate in on-call or escalation support rotationsAutomation• Maintain documentation for support procedures and known issues• Collaborate with engineering teams for fixes and optimizationsRequired Skills & Qualifications (Mandatory)• 3+ years experience as a Data / AI Support Engineer• Hands-on experience with Docker and containerized workloads• Experience supporting local LLM models or AI inference systems• Practical knowledge of Linux system administration• Experience with data scraping or web crawling systems• Basic scripting skills (Python, Bash)Preferred / Good to Have• Familiarity with Neo4j, Kafka, or data pipelines• Experience with Ollama, Hugging Face models, or similar LLM runtimes• Knowledge of cloud-native monitoring tools• Understanding of networking concepts (DNS, ingress, load balancers)What We Offer• Opportunity to work on cutting-edge AI and LLM infrastructure over cloud and local AI server• Fast-paced startup or scale-up environmentCareer growth in AI
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