Required Skills: • 3+ years of Python development experience in production environments. • Hands-on experience with Generative AI (LLMs, Transformers, NLP pipelines, etc.). • Strong cloud experience with AWS and/or Azure (compute, storage, IAM, networking). • Experience with SRE practices: reliability engineering, observability, monitoring, incident management. • Familiarity with DevOps tools (Git, Jenkins, Docker, Kubernetes, Terraform, etc.). • Working knowledge of MLOps and model deployment workflows. Nice to Have: • Exposure to prompt engineering or fine-tuning LLMs. • Background in financial services or regulated industries. Day to Day • Develop, deploy, and support Generative AI solutions and frameworks for enterprise use cases. • Build scalable and resilient Python-based applications and services in a cloud-native environment. • Collaborate with AI/ML engineers, data scientists, and infrastructure teams to integrate and operationalize Gen AI models. • Ensure high availability, performance, and security of AI systems using SRE best practices. • Automate deployment pipelines, observability, and system health monitoring.