DevOps / GenAI Engineer

Skills and experience required

Core skills

• DevOps / GenAI Engineer We are seeking a DevOps professional who has transitioned into Data Science and GenAI, with hands-on experience deploying LLM solutions into production. This role focuses on building and operating enterprise GenAI applications, including pushing LLM and RAG solutions into EKS environments.
• Responsibilities
• Required SkillsPreferred Skills
• Enhance and support an enterprise AI chat and document intelligence platform
• Design, build, and optimize LLM and RAG pipelines
• Develop backend APIs and reusable AI tools for scalable, multi-team adoption
• Translate business document and data needs into production AI solutions
• Support production deployments through monitoring, logging, and performance tuning
• Extract and analyze large volumes of corporate documents using NLP and AI
• Build conversational AI systems for enterprise knowledge discovery and decision support
• Integrate AI solutions with enterprise systems (OAuth, LDAP, cloud services)
• Design microservices-based, production-ready AI platforms
• 4 5 years of DevOps experience
• 2+ years building production LLM solutions
• 3+ year deploying GenAI applications to EKS
• Python development
• Experience with LangChain, Pandas, and Scikit-learn
• Pipeline architecture and Terraform scripting for EKS
• GitHub development and maintenance
• Strong API and production AI system experience
• Knowledge of RAG architectures, embeddings, and semantic search
• Cloud-based AI deployment experience
• Master s degree in a related field
• Experience with MLOps, microservices, authentication systems, and AI observability