Senior AI Workflow Engineer

About the job

Responsibilities

• Design and implement AI-driven optimizations within software development workflows.
• Design, develop, and deploy AI agents to automate software development workflows and processes.
• Measure and report on the impact of AI interventions on key metrics like cycle time, change failure rate, and MTTR.
• Create and deploy predictive models to identify high-risk commits and forecast potential build failures.
• Conduct research on emerging technologies to recommend best practices and improvements.
• Proactively track AI tool and technology trends and collaborate with development teams to evangelize AI-driven workflows.

Requirements

• Bachelor's or Master's degree in EE/CS or equivalent experience.
• 10+ years of work experience.
• Proficiency with Large Language Models (LLMs), Machine Learning (ML), and Agentic AI techniques.
• Hands-on experience using LLMs and implementing AI for software engineering workflows.
• Hands-on experience with Python, Java, or Go, with extensive Python scripting experience.
• Experience with SQL/NoSQL database systems (e.g., MySQL, MongoDB, Elasticsearch).
• Experience in full-stack development, including front-end (React, Angular, Vue.js, HTML, CSS, JavaScript) and back-end (Node.js, Python/Django/Flask, Ruby on Rails, Java/Spring, .NET).
• Experience with CI/CD tools (e.g., Jenkins, Gitlab CI, Packer, Terraform, Artifactory, Ansible, Chef).
• Good understanding of distributed systems, microservice architecture, and REST APIs.
• Experience leveraging LLMs and Agentic AI to automate complex workflows.
• Knowledge of retrieval-augmented generation (RAG) and fine-tuning LLMs on enterprise data.
• Prior development of a large software project using service-oriented architecture with real-time constraints.

Benefits

• Equity
• Benefits