Generative AI Engineer

📋 Description

• Design and build production-grade generative AI systems (LLMs, agents, RAG).
• Establish reusable patterns for prompts, workflows, and AI lifecycles.
• Optimize model selection, routing, latency, and cost efficiency.
• Integrate AI with enterprise data, APIs, databases, and cloud services.
• Own reliability, monitoring, observability, and incident response.
• Build and maintain CI/CD pipelines for AI deployment.

🎯 Requirements

• Proven experience delivering production-grade LLM/generative AI systems (prompting, orchestration).
• Experience building automated evaluation pipelines (retrieval validation, regression tests, failure analysis).
• Experience implementing enterprise AI safeguards (human review, content filtering, security controls).
• Track record designing and operating distributed enterprise systems with reliability and scalability.
• Experience developing CI/CD pipelines for AI services and cloud apps.
• Ability to define/enforce GenAI engineering standards and patterns.

🎁 Benefits

• Fully remote within the United States.
• Opportunity to work on advanced generative AI systems for enterprise-scale tech.
• Collaborative environment focused on innovation and continuous learning.
• Flexible remote work with travel as needed.
• Influence AI engineering standards and future technology direction.
• Inclusive culture with accommodations to support responsibilities.