Overview
As an Artificial Intelligence Engineer, you will join a leading technology organization focused on AI-first software engineering practices. In this hybrid role, you'll collaborate with a high-performing engineering team to design, build, and enhance frameworks and tools that empower teams to develop efficient AI-assisted software solutions. Your work will span the entire development lifecycle, addressing challenges of reliability, governance, and optimization in AI product deployment.
Responsibilities
- Build and deliver AI-powered product features using modern LLM architectures.
- Define detailed technical specifications for AI agents.
- Create and maintain high-quality engineering documentation and standards.
- Improve developer productivity by streamlining build, testing, and deployment processes.
- Develop reusable AI tooling, frameworks, and shared engineering capabilities.
- Establish governance practices for reviewing AI-generated code.
- Implement evaluation frameworks and production monitoring strategies.
- Continuously optimize AI workflows for quality and scalability.
Requirements
- Experience delivering AI products in production environments.
- Proficiency in building and deploying LLM-powered applications at scale.
- Familiarity with evaluation frameworks and AI quality measurement techniques.
- Knowledge of Retrieval Augmented Generation and context engineering methods.
- Experience in diagnosing AI retrieval and generation failures.
- Understanding of production monitoring, optimization, and observability.
- Experience with cost management and token optimization.
- Ability to design secure AI systems within compliance-sensitive settings.