3 hours 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 was founded in 2006 in Cambridge, Massachusetts by Langley Steinert, co-founder of TripAdvisor, who saw an opportunity to create a better car-shopping experience using technology and data analytics. Today, CarGurus is the leading multinational automotive platform helping consumers and dealers confidently buy and sell vehicles. Our culture fosters kindness, collaboration, and innovation, while empowering Gurus with opportunities and resources to fuel their career growth. We aim to give all people—consumers, dealers, and our employees—the power to reach their destination. Ready to join us for the ride? Apply now!