Senior AI Workflow Engineer

Design and implement AI-driven optimizations within software development workflows to enhance developer productivity, accelerate feedback loops, and improve release reliability. Experience designing, developing, and deploying AI agents to automate and software development workflows and processes. Continuously measure and report on the impact of AI interventions, demonstrating improvements in key metrics like cycle time, change failure rate, and mean time to recovery (MTTR). Create and deploy predictive models to identify high-risk commits, forecast potential build failures, and flag changes that have a high probability of failures. Conduct research on emerging technologies to recommend best practices and improvements Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch. Experience in Full stack development.. Proficient in front-end (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript), back-end (e.g., Node.js, Python/Django/Flask, Ruby on Rails, Java/Spring, .NET) development, database management (SQL/NoSQL), and deployment/hosting (e.g., AWS, Azure, GCP). Experience with tools for CI/CD setup such as Jenkins, Gitlab CI, Packer, Terraform, Artifactory, Ansible, Chef or similar tools. Ability to effectively work across organizational boundaries to enhance alignment and productivity between teams. Expertise in leveraging large language models (LLMs) and Agentic AI to automate complex workflows, with knowledge of retrieval-augmented generation(RAG) and fine-tuning LLMs on enterprise data.