Generative AI Engineer

Skills

Description

This role reports directly to Hearst’s Chief Product & AI Strategist and sits at the exciting intersection of software engineering and artificial intelligence.
This is not a data science or machine learning role—it’s designed for a full-stack software engineer with deep experience integrating Large Language Models (LLMs) and generative AI into real-world applications.
The right candidate is a hands-on builder who thrives in autonomy, excels in ambiguous environments, and can rapidly turn innovative ideas into scalable, production-ready tools.
For more insight into the nature of this work, please visit: latent.space/p/ai-engineer

Responsibilities

• Build and deploy Generative AI applications and features using cutting-edge LLM APIs and open-source models
• Design multi-agent systems and advanced Retrieval-Augmented Generation (RAG) architectures using frameworks like LangChain
• Integrate vector databases and retrieval systems to support AI workflows
• Develop internal tools and pipelines that merge traditional software engineering with modern AI capabilities
• Create performance evaluation frameworks to assess application reliability and output quality
• Work cross-functionally with product and engineering teams to identify and implement AI-driven solutions