QuinStreet offers a decentralized online marketplace that empowers consumers by matching them with brands that meet their needs. A leader among “research and compare” networks,
Senior AI Engineer
Location
United States
Posted
16 hours ago
Salary
$80 - $100 / hour
Seniority
Senior
No structured requirement data.
Job Description
Senior AI Engineer
QuinStreet
Role Description 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. - 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 scraping and AI pipeline from URL intake through compliance findings, screenshot evidence, and results delivery back to the portal. Responsibilities - Design and configure the production AWS environment (ECS/Fargate, SQS, API Gateway, RDS PostgreSQL, S3, IAM, CloudWatch) using infrastructure as code (Terraform or CDK). - Build a stateless, containerized worker fleet that integrates Playwright-based page rendering, structured rule evaluation, and Claude API analysis. - Implement token optimization strategies across the LLM pipeline — prompt engineering, context pruning, caching, model selection, and batching — with measurable cost outcomes. - Define and document API contracts, job payload schemas, and database write patterns with the internal Laravel portal team to enable parallel development. - Build third-party API ingestion and field-level diff-detection logic that automatically adjusts monitoring rules when product data changes. - Handle modern web rendering challenges at scale: JavaScript-heavy SPAs, interstitials, cookie consent overlays, dynamic content, viewport switching, and full-page screenshot capture. - Evaluate when LLM analysis is the correct tool versus a classifier or rules-based approach, and design the two-stage rule-engine-plus-AI pipeline accordingly. - Build and maintain a unit test suite covering all modules and APIs to ensure uptime and proper functionality. - Document every architecture decision, configuration, API contract, and operational procedure continuously — not as a final-week deliverable. - Deliver a complete runbook and knowledge transfer to the internal team at engagement close. - Operate independently end-to-end while coordinating closely with the internal portal team and reporting directly to the Senior Director, surfacing risks and trade-offs early. Requirements - Production backend Python experience, including async patterns, type hints, packaging, and testing. - Direct production experience designing and configuring AWS ECS/Fargate, SQS, API Gateway, RDS (PostgreSQL), S3, IAM, and CloudWatch, with infrastructure as code (Terraform or CDK). - Real shipped systems calling the Anthropic Claude API in production, with demonstrated experience in prompt design, structured output, error handling, and cost trade-offs. - Demonstrated track record reducing token spend on production LLM workloads, with specific before/after results you can walk through. - Working knowledge of other LLM providers sufficient to recommend cheaper or better alternatives for specific tasks. - Production Playwright experience at scale, including headless Chromium failure modes, network idle detection, dynamic content handling, viewport switching, and screenshot strategy. Selenium or Puppeteer experience does not substitute. - Machine learning fundamentals sufficient to evaluate when LLM analysis is the right tool versus a classifier or rules-based approach, and to reason about evaluation and false-positive rates. - Docker and containerization experience, including image optimization, ECR, and stateless worker design. - Ability to operate fully independently — no engineering team underneath you — while documenting continuously and coordinating cleanly with an internal team. Nice to Have - Experience with API ingestion and field-level diff-detection systems. - Laravel or PHP familiarity, enough to coordinate cleanly on API contracts with the portal team. - SOC 2 Type II compliance experience. - Salesforce API integration experience. - Regulated-industry experience (financial services, healthcare, or insurance). Benefits - The expected hourly range for this position is $80/hr - 100/hr. This hourly range is an estimate, and the actual hourly rate may vary based on the Company’s compensation practices. - The hourly rate may be adjusted based on applicant's geographic location. - This position is eligible to participate in the Company’s standard employee benefits programs, which currently include health care benefits. Company Description QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law. Please see QuinStreet’s Employee Privacy Notice here.
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Additional Information All your information will be kept confidential according to EEO guidelines.
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Role Description Tealium is seeking a Senior Engineer, AI Developer Tools, to contribute to the vision, design, and rollout of our next-generation AI-driven developer tools. This is a high-impact role at the core of a strategic initiative to modernize Tealium’s engineering ecosystem, enabling teams with intelligent, automated, and scalable tooling. In this role, you will directly empower Tealium’s development teams to innovate faster, enhance code quality, and dramatically increase engineering productivity through AI. This is a unique opportunity to lead a critical strategic initiative, influence technical direction, and help teams adopt AI-forward development practices in a measurable, practical way across the engineering organization. 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Senior Director, AI Engineering and Transformation
ABC Financial ServicesABC Fitness is the #1 software provider for fitness businesses of any size, all around the world. Supporting 30K clubs, 650K coaches, 40M members, and processing more than $12B in payments every year, ABC Fitness provides scalable, data-driven solutions to simplify club management and engage members and clients. From personal trainers, boutique studios, and gyms, to international franchise health clubs, ABC Fitness will move your business forward through technology and industry insights. Innovation is at the center of everything we do, across ABC Glofox, ABC Ignite, ABC Trainerize, and ABC Evo. Let's make your fitness vision a seamless reality, together.
Role Description Join ABC Fitness, the leading technology provider for the fitness industry! - Architect the AI Strategy: Define and coordinate the roadmap for AI adoption across all platforms. You’ll determine which technologies, tools, and approaches are "best-fit" for ABC’s unique ecosystem. - Manage the Maturity Spectrum: Develop specialized tracks for different team stages—from building foundational AI infrastructure for new teams to evolving "AI ways of working" for teams earlier in their maturity journey. - Drive Reference Implementations: Work with a core team to build "North Star" examples. You’ll lead POCs and pilot schemes that prove the value of AI in a real-world, production context. - Executive Coordination: Partner closely with Directors and VPs to align transformation goals with business outcomes, managing the trade-offs between rapid innovation and organizational stability. - Value Capture & Communication: You are the chief storyteller for AI. You will define how we measure success, capturing and communicating the tangible value AI brings to our delivery velocity and product quality. - Uncover Best-in-Class Approaches: Lead a small, high-impact team dedicated to researching the AI landscape, ensuring our infrastructure and tooling choices are pragmatic yet forward-looking. What This Is Not: - Not a pure strategy or advisory role—you are accountable for execution. - Not a "hands-off" management role—you will be deep in the POCs and reference builds. - Not disconnected from the "How"—you own the evolution of our engineering culture and ways of working. Qualifications - Transformation Leadership: 7+ years of people leadership, with a proven track record of leading large-scale change management in engineering or product organizations. - Technical & AI Fluency: You have strong technical credibility and can hold your own with Principal Engineers; you understand the constraints and possibilities of LLM systems. - The "Organizing" Gene: You excel at turning high-level vision into structured plans, pilots, and measurable rollout strategies. - Influential Communication: You can align senior stakeholders and motivate teams to change their daily habits without relying on top-down authority alone. - Operational Thinking: You understand that transformation fails without the right "plumbing"—you care as much about the infra/tooling as you do about the vision. Requirements - Experience leading traditional "Brownfield" teams through an AI maturity model. - Background in Platform Engineering or Developer Experience (DevEx), internal tooling, or engineering productivity. - Experience in capturing and visualizing complex ROI for AI initiatives. - Experience leading globally distributed engineering organizations and driving transformation across multiple geographies. What Success Looks Like - Consistent Adoption: AI is no longer a "pocket of innovation" but a standard way of working across all ABC teams. - Measurable Velocity: A documented increase in delivery speed and a decrease in "plumbing" tasks for engineers. - Clear Paved Paths: Teams at every maturity level have a clear roadmap and the tooling they need to move to the next level. - Proven Value: Senior leadership has a clear, data-driven view of how AI is impacting the bottom line. Why This Matters ABC Fitness is building toward an AI-native future by developing agentic experiences, intelligent workflow automation, and platform-level capabilities that turn data and models into action. The work spans recommendation systems, orchestration, embedded intelligence, and scalable AI-powered product experiences that directly influence how customers acquire, serve, retain, and grow their members. It is an opportunity to build applied AI in production, at meaningful scale, on problems that matter to customers every day. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!



