Sr. Full Stack Engineer - AI Forward Engineer
About The Position
CarParts.com is the go-to eCommerce platform for auto care and maintenance, providing quality parts at competitive prices and enabling users to schedule appointments with trusted mechanics. We utilize world-class design principles and the latest technologies to deliver a fast, intuitive digital experience, supported by our company-owned national distribution network. With over 1,000 employees worldwide, we are experiencing rapid scaling, driven by a recent strategic partnership and a $35 million investment, positioning us for significant growth. Our culture is performance-driven, data-focused, and fast-paced, emphasizing clear metrics, accountability, and a promote-from-within philosophy. We value collaboration, high standards, grit, ownership, and a relentless pursuit of results. This role is unique as AI is deeply integrated into our development and operational processes, not just an add-on. Engineers use AI coding assistants daily, and we are building production AI agents for tasks like merchandising, search relevance, customer support triage, and content generation. These agents employ advanced patterns such as autonomous planning, multi-step reasoning, tool orchestration, self-correction, and human-in-the-loop checkpoints. Our platform exposes MCP servers for LLM-powered tools to interact with catalog data and trigger workflows. Prompt engineering and token economics are treated as first-class engineering disciplines.
Requirements
- 6+ years of experience in Full-Stack JavaScript and TypeScript development.
- Extensive experience building scalable full-stack applications and microservices using React, Next.js, Node.js, Express, HTML, and CSS.
- Hands-on experience with TypeScript across frontend and backend systems.
- Strong knowledge of RESTful API design and OpenAPI specifications.
- Experience designing and integrating APIs, including REST and modern data-fetching patterns.
- Extensive experience working with MySQL, MongoDB, PostgreSQL and Redis, with a solid understanding of data modeling trade-offs.
- Familiarity with micro-frontend architecture and module federation.
- Strong experience building performant React applications using hooks and state management libraries such as Redux.
- Experience with cloud-native application development using Docker and containerized environments.
- Experience with CDNs, caching strategies, performance optimization, and security considerations.
- Strong knowledge of JavaScript build tools such as Webpack and modern bundlers.
- Proficiency with Chrome DevTools and frontend performance profiling tools.
- Experience with SPA, PWA, responsive design, and MPA architectures, including performance.
- Strong experience with data structures, algorithms, and database design.
- Proven experience in software architecture, design patterns, and engineering best practices.
- 1+ year hands-on experience integrating LLM APIs (OpenAI, Anthropic, or equivalent) into production or near-production systems.
- Demonstrated ability to build or extend AI agents that use tool-calling, function execution, and structured output.
- Proven approach to token budget management: prompt optimization, caching strategies, cost monitoring dashboards.
Nice To Haves
- Experience with public cloud services (AWS, Azure and GCP).
- Experience with ecommerce/retail.
- Experience with legacy applications migration to modern stack.
- Contributions to open-source AI tooling or MCP ecosystem.
Responsibilities
- Design, develop, and own full-stack features across React/Next.js frontends and Node.js/Express microservices.
- Build AI-powered product experiences: intelligent search, personalized recommendations, automated content generation, and conversational commerce flows.
- Design and develop agentic systems — agents that plan, reason over multiple steps, select and call tools, handle errors autonomously, and escalate to humans when confidence is low.
- Implement agentic patterns: ReAct loops, chain-of-thought planning, reflection/self-critique, memory (short-term context and long-term retrieval), and multi-agent coordination.
- Develop and maintain MCP servers that expose ecommerce domain tools (catalog, pricing, inventory, order) to LLM-powered clients.
- Integrate LLM APIs into production paths with proper error handling, fallback strategies, and cost guardrails.
- Write prompts, evaluation harnesses, and monitoring for AI features — treat them as code, version them, review them.
- Optimize frontend performance: Core Web Vitals, page load time, time-to-first-byte.
- Design APIs (REST, OpenAPI) that are clean, well-documented, and backward-compatible.
- Build shared tooling: CLI utilities, code generators, reusable component libraries, and internal developer tools powered by AI.
- Improve CI/CD pipelines, containerized builds, and deployment workflows.
- Participate in architecture decisions, code reviews, and technical design documents.
- Translate business requirements into technical designs with product and design stakeholders.
- Mentor engineers on AI integration patterns, prompt engineering, and modern full-stack practices.
- Stay current with AI/ML tooling, LLM advances, and MCP ecosystem developments — bring what you learn back to the team.
Benefits
- We reward top performers with opportunities for growth and advancement.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
