Applied AI Engineer, Advertising Agents (New Grad)

What you'll do

• Develop components for automated advertiser-account hosting, optimization scheduling, and monitoring.
• Use performance data and LLMs to identify account issues and generate actionable, auditable tuning strategies.
• Build observability, safeguards, and evaluation pipelines to measure optimization quality and catch regressions.

What they ask for

• Bachelor's or master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field, recently completed or expected within the next 6 months.
• Exposure to building or experimenting with agentic systems.
• Software-engineering fundamentals, including clean, testable code and familiarity with asynchronous/concurrent programming and typed/data-modeled code.
• Foundational understanding of LLMs, RAG, tool use, agent orchestration (including MCP-style tool ecosystems), structured/schema-validated LLM outputs, modern model APIs, REST/API integration, and machine learning and AI fundamentals.

Nice to have

• Internship or research experience involving LLMs, agent systems, or recommendation/advertising systems.
• Exposure to advertising or recommendation metrics (CPA, ROAS, CVR, CTR, conversions), or projects building AI agents or automation tools.

Pay

$135,000 — $155,000 USD annual base salary

Tools

LLMs, RAG, MCP, REST/API, Docker, Kubernetes

AI focus

Apply LLMs and agent technology to advertising account diagnosis, strategy recommendations, automated account hosting, and closed-loop campaign optimization, with safeguards and evaluation.