2 months ago
Base Salary
$191k - $239k/yr
Responsibilities
- Design, build, and deploy end-to-end consumer-facing experiences serving 45 million monthly visitors, from data and model layers through user-facing products.
- Serve as the technical AI expert and advisor for Consumer AI projects, guiding architecture, design, and implementation decisions.
- Guide platform and infrastructure decisions for AI deployments, including storage, memory, request handling, load, evaluation pipelines, observability, and analytics.
- Evaluate AI frameworks and tooling, develop proof-of-concepts, and explain trade-offs between technology choices.
- Build and operate production agentic and LLM-based applications using LangChain, LangGraph, and Langfuse in Python.
- Drive adoption of agentic programming by defining patterns, tooling, and engineering best practices.
- Partner with engineering leadership, Product, and data teams on platform guidelines and consumer initiative roadmaps.
- Mentor engineers across teams on system design, evaluation methodology, and operational practices.
- Conduct workshops and create documentation covering AI development, deployment, monitoring, and support.
- Document architectural decisions in Architecture Decision Records and share findings and best practices across teams.
Requirements
- 10+ years of experience architecting resilient, scalable systems and leading technical direction across multiple teams.
- Extensive experience designing, implementing, and deploying consumer-facing AI experiences in production.
- Hands-on experience with LangChain, LangGraph, and Langfuse in Python, including AI platform and infrastructure layers such as storage, memory, load management, evaluations, and observability.
- Broad knowledge of AI frameworks and tooling beyond Python, with the ability to evaluate approaches independently of language or ecosystem.
- Hands-on full-stack experience across frontend, backend, platform, and infrastructure layers for production-grade systems.
- Experience building APIs and REST services in Java and UX applications in React is preferred.
- Experience with agentic programming and multi-agent workflows, including guiding teams through adoption.
- Experience defining engineering patterns and standards adopted by others and mentoring engineers on architecture and coding practices.
- Experience working within the AWS ecosystem is a plus.
- Strong communication skills and a collaborative approach for influencing technical direction across teams and disciplines.
Benefits
- Flexible hybrid work model
- Robust time-off policies
- Equity for all employees
- Daily free lunch
- New car discount
- Meditation and fitness apps
- Commuting cost coverage
- Career development programs
- Corporate giving programs
- Employee resource groups and communities
Categories
About CarGurus
CarGurus builds an online automotive marketplace that helps consumers research, finance, and buy cars and helps dealers market and sell inventory. It monetizes primarily through dealer subscriptions, advertising, and digital retail services, and also operates CarOffer, a wholesale vehicle trading platform. Founded in 2006 and headquartered in Boston, the company is publicly traded on NASDAQ under the ticker CARG.