QuinStreet
Digital Media
SeniorAIEngineer
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“Senior AI Engineer at QuinStreet. Skills: Cloud Architecture, AI Engineering, Web Scraping, LLM Integration. Design production AWS environment. Build containerized worker fleet”
What You'll Achieve.
deliver a production-grade system; detects compliance violations; high accuracy; controlled token costs; measurable cost outcomes; automatically adjusts monitoring rules; ensure uptime; ensure proper functionality; deliver truly great results
Industry & Context.
problem-solving; reason about evaluation; reason about false-positive rates
What They're Looking For.
Must Have
Production backend Python experience, async patterns, type hints, packaging, testing, Direct production experience designing and configuring AWS ECS/Fargate, SQS, API Gateway, RDS (PostgreSQL), S3, IAM, and CloudWatch, infrastructure as code (Terraform or CDK), Real shipped systems calling the Anthropic Claude API in production, prompt design, structured output, error handling, cost trade-offs, Demonstrated track record reducing token spend on production LLM workloads, Working knowledge of other LLM providers, Production Playwright experience at scale, headless Chromium failure modes, network idle detection, dynamic content handling, viewport switching, screenshot strategy, Machine learning fundamentals, Docker and containerization experience, image optimization, ECR, stateless worker design, Ability to operate fully independently, documenting continuously, coordinating cleanly with an internal team
Nice to Have
Experience with API ingestion and field-level diff-detection systems, Laravel or PHP familiarity, SOC 2 Type II compliance experience, Salesforce API integration experience, Regulated-industry experience (financial services, healthcare, or insurance)
What You'll Do.
Design production AWS environment
Build containerized worker fleet
Integrate Playwright rendering
Integrate Claude-powered analysis
Build third-party API ingestion
Detect field-level differences
Handle modern web rendering challenges
Evaluate LLM analysis suitability
Design rule-engine-plus-AI pipeline
Build unit test suite
Document architecture decisions
How You'll Work.
Team & Collaboration
coordinating closely with the internal portal team; defining clean API contracts with the internal team; coordinating cleanly with an internal team
Full Job Description
Powering Performance Marketplaces in Digital Media QuinStreet is a pioneer in powering decentralized online marketplaces that match searchers and “research and compare” consumers with brands. We run these virtual- and private-label marketplaces in one of the nation’s largest media networks. Our industry leading segmentation and AI-driven matching technologies help consumers find better solutions and brands faster. They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results. Our campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience. We believe in: The direct measurability of digital media. Performance marketing. (We pioneered it.) The advantages of technology. We bring all this together to deliver truly great results for consumers and brands in the world’s biggest channel. Job Category We are looking for a Senior AI Developer & Cloud Architect to design, build, and own the AI-powered compliance scraping engine and cloud infrastructure layer for an internal platform monitoring up to 70,000 credit card offer pages per month. This is a hands-on, sole-builder contractor role that sits at the intersection of cloud architecture, AI engineering, and large-scale web scraping, with a clear mandate: deliver a production-grade system that detects compliance violations across issuer offer pages with high accuracy and controlled token costs. You will do this by architecting the AWS environment from the ground up, building a containerized worker fleet that integrates Playwright rendering with Claude-powered contextual analysis, and defining clean API contracts with the internal team that owns the Laravel control panel. This is not a managed-PaaS or prototype role. You will be accountable for end-to-end delivery — architecture, build, documentation, and knowledge transfer — owning the full s
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