Generative AI Engineer

Position Description

We are seeking a Generative AI Engineer to own the hands-on technical delivery of production GenAI systems - from architecture and implementation through deployment, operations, and continuous improvement. This role covers the full stack of modern GenAI engineering: LLM application design, agentic and RAG workflows, structured output patterns, evaluation pipelines, and operational safeguards, integrated with enterprise data sources and cloud-native services.

Beyond building, this person helps to define the technical standard for GenAI work on the team - establishing engineering patterns, owning architectural decisions, and serving as the primary authority on GenAI best practices and tooling. The right candidate brings deep, demonstrable production GenAI experience, a strong sense of operational ownership, and the technical credibility to lead by example.

General Duties and Responsibilities

AI Architecture & Delivery

• Design and build production-grade generative AI systems - agentic workflows, multi-step RAG pipelines, and LLM-powered applications integrated with enterprise data and services
• Define and implement reusable engineering patterns for prompt management, workflow versioning, structured outputs, tool orchestration, and rollback across production AI services
• Apply judgment around model selection and routing, token and latency optimization, cost management, and the appropriate boundaries between AI-driven and deterministic application logic
• Continuously evaluate emerging AI models, tools, and architectural approaches, incorporating improvements into existing systems incrementally
• Integrate AI systems with enterprise data sources, internal APIs, and platforms to enable reliable, production-ready workflows

Reliability, performance & operations

• Own operational outcomes for production AI systems - reliability, latency, throughput, cost efficiency, and scalability targets
• Implement and