Applied AI Engineer, Advertising Agents

About the role

Are you looking to engage in AI Account Management algorithm work as an excellent engineer to join our advertising team? In this role, you will be responsible for designing, developing, and optimizing an AI-driven intelligent account hosting and optimization platform. You will utilize LLMs, Multimodal Foundation Models, and related techniques to build AI advertising expert systems (AI Agents) that run a closed optimization loop — autonomously diagnosing accounts and safely auto-tuning delivery.

Your work will directly lower the delivery barrier for global advertisers on our platform. While ensuring the health and compliance of the account ecosystem, your intelligent operations will maximize advertisers' willingness to spend and platform revenue.

Responsibilities

• Build In-house AI Account Manager System: Own the algorithm and system design for the core "AI Account Manager" — realizing automated hosting, autonomous optimization, and intelligent scheduling of optimization across many advertiser accounts running concurrently.
• Construct Intelligent Diagnosis and Strategy Recommendation Models: Analyze advertisers' performance data and delivery history to assess account health and automatically diagnose delivery pain points (such as inability to scale volume, sudden drops in ROI, or budget capping), then use LLMs to generate and safely execute actionable, auditable account-level tuning strategies.
• Ensure Reliability and Measurable Quality: Build the long-running services, observability, dry-run safeguards, and offline/online evaluation that keep optimization quality measurable and catch regressions before they reach live spend.
• Cross-team Collaboration to Drive Growth: Work closely with the platform-side ad delivery algorithm team and product managers to transform AI account management capabilities into the platform's core commercial competitiveness, improving advertiser retention rate and overall consumption.

Qualifications

• Education Background: Bachelor's/Master's degree or higher in Computer Science, Artificial Intelligence, Data Science, or related fields.
• Work Experience: Possess a basic understanding of fields such as ad delivery platforms or recommendation systems; fresh graduates are acceptable. Familiar with building, deploying, and optimizing agentic systems in production environments. Strong software-engineering fundamentals: production-quality code, asynchronous/concurrent programming, typed and data-modeled code, and a solid testing discipline.
• Core Technical Stack: Master LLMs, RAG, tool-use, memory handling, and agent orchestration (including MCP-style tool ecosystems). Hands-on with harness engineering, structured/schema-validated LLM outputs, and integration with modern model APIs. Experience with REST/API integration and building reliable long-running services; familiar with modern deployment tools such as Kubernetes. Solid grounding in machine learning and AI fundamentals; familiar with advertising or recommendation system concepts. Possess excellent analytical and complex problem-solving abilities.

Benefits

• Health, dental, and vision care for you and your family (100% coverage for employee)
• Top-tier 401(K) plan with company matching
• Paid time off and paid holidays
• FSA, HSA and commuter benefits programs
• Team activity budget

Pay

Annual Base Pay Range: $135,000 - $185,000 USD

Schedule

N/A