Applied AI Engineer, Advertising Agents

What you'll do

• Build the core AI Account Manager system for automated account hosting, optimization, and scheduling.
• Develop models that diagnose account health and generate auditable tuning strategies using LLMs.
• Build reliable services, safeguards, observability, and evaluation; collaborate with ad-delivery and product teams.

What they ask for

• Bachelor's/Master's degree or higher in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Basic understanding of ad delivery platforms or recommendation systems; fresh graduates are acceptable.
• Familiarity with building, deploying, and optimizing production agentic systems, plus strong software-engineering fundamentals.
• Knowledge of LLMs, RAG, tool use, memory handling, agent orchestration, harness engineering, structured outputs, and modern model APIs.

Nice to have

• More than 2 years applying large-model capabilities to ad-delivery systems such as automated delivery, hosting, tuning, or scheduling.
• Experience with commercial AI agents, instruction tuning, or multimodal models; understanding of digital advertising metrics and online A/B experimentation.

Pay

$135,000 — $185,000 USD annual base salary

Tools

LLMs, RAG, MCP, Kubernetes, REST/API, Multimodal Foundation Models

AI focus

Builds LLM- and multimodal-model-powered advertising agents for account diagnosis, strategy generation, and safe autonomous optimization.