AI Enablement Engineer
Role Summary
As an AI Enablement Engineer, you will play a pivotal role in advancing AI initiatives within the Information Technology industry. You will work on the AI Enablement Engineer project, focusing on developing and implementing innovative AI solutions that drive business transformation and enhance operational efficiency. Your expertise will contribute to creating scalable AI architectures and models, ensuring their alignment with organizational goals and industry standards.
• 5+ years in a software engineering, DevOps, or platform engineering role, with at least 1 year of hands-on work with LLM-based tools or agentic workflows in a professional setting.
• Direct experience deploying and supporting AI coding assistants across an engineering team, including configuration, rollout, and troubleshooting.
• Familiarity with LLM infrastructure concepts: model routing, API proxying, token management, and model versioning.
• Strong written communication skills. You can write a runbook as well as you can explain a prompt engineering principle to a skeptical engineer.
• Comfort working in a mixed-technical environment with engineers at varying AI maturity levels.
• Experience working with automated testing toolchains in a CI/CD context.
Strongly Preferred
• Hands-on experience building or operating agentic AI workflows, including multi-step agent pipelines and tool/API integration.
• Experience with spec-driven or structured software specification methodologies.
• Background in SaaS product development. You understand the difference between an internal prototype and a shippable product.
• Experience in a developer tools, testing tools, or security software company.
Must-Haves
LLM, Devops, SAAS, agentic workflow
Engagement & Compensation
Employment Type: Contract
Duration: 6 months
Work Mode: Remote
Openings: 1 position available
Experience: 5 to 14 years
Compensation: Hourly Rate: $0.0-$0.0 per hour