Senior AI Workflow Engineer

Responsibilities

• 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
• What we need to see
• BE (MS preferred) or equivalent experience in EE/CS with 10+ years of work experience.
• Well versed with Large Language Mode (LLM), Machine Learning (ML), Agentic AI techniques.
• Hands-on experience in using large language models (LLMs) and implementing AI for software engineering workflows.
• Hands-on experience on Python/Java/Go with extensive python scripting experience.

Languages