Applied AI Engineer

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Different is a marketing system for B2B companies. The Applied AI Engineer builds and ships production agents, evaluations, and model systems that generate and optimize marketing content, act on marketers' behalf, and learn from outcomes. The role spans multi-step agent workflows, content generation quality, evaluation design, context and memory management, and model selection, routing, and fine-tuning.

• Build multi-step agent workflows that turn a marketer's goal into concrete actions
• Improve the quality of ads, emails, landing pages, and other marketing content produced by the system
• Define what good looks like, measure it, and use evaluation results to improve the system
• Decide what a model needs to know at each step, what should be remembered, and what should be retrieved on demand
• Use marketer edits, feedback, and campaign results to improve future decisions
• Decide when the system should explore new approaches versus stick with what is working
• Choose, route, and fine-tune models while balancing quality, latency, and cost

• Experience building production LLM-powered agents and tool-use workflows
• Strong background in designing and running evaluations for generative AI systems
• Ability to work across model selection, routing, and fine-tuning tradeoffs
• Solid software engineering skills for shipping reliable production systems

• Experience with context and memory architectures for LLM applications
• Background in marketing content generation or optimization
• Experience with reinforcement or feedback-driven learning from outcomes