Sr. Full Stack Engineer - AI Forward Engineer

What We DoCarParts.com is the go-to eCommerce platform for auto care and maintenance. We provide drivers with quality parts at competitive prices and enable them to schedule appointments with trusted mechanics directly through our website. Using world-class design principles and the latest technologies, we deliver a fast, intuitive digital experience backed by our company-owned national distribution network. With over 1,000 employees worldwide, we are scaling rapidly, fueled by our most recent strategic partnership and $35 million investment. This positions us for the next phase of growth as we continue to empower drivers along their journey.

Our CultureAt CarParts.com, our culture goes beyond our core values of Safety First, Customer Focused, and Commitment to Excellence. We are a performance-driven, data-focused, and fast-paced team where results matter and winning is expected.

• Hungry & Hardworking:

  We set ambitious goals, measure progress with clear metrics, and hold ourselves accountable to deliver results.
• Promote from

Within:

We reward top performers with opportunities for growth and advancement.

• Collaborative & In-Person:

  We believe the best ideas and fastest execution happen face-to-face.

• High Standards:

  We move quickly, pay attention to details, and dig deep
• whether its analyzing contracts, aggregating complex scenarios, or building clear, data-driven presentations.

•

No Passengers:

We value grit, ownership, and the relentless pursuit of resultsWhy This Role Is AI-ForwardThis is not a traditional full-stack role with AI bolted on. AI is woven into how we build, ship, and operate:

Every engineer uses AI coding assistants (Claude Code, Claude Cowork, GitHub Copilot, Cursor) as a daily multiplier not an optional extraWe are building production AI agents that automate merchandising, search relevance, customer support triage, and content generationOur agents use agentic patterns autonomous planning, multi-step reasoning, tool orchestration, self-correction, and human-in-the-loop checkpoints not simple prompt-response chainsOur platform exposes MCP servers so LLM-powered tools can read catalog data, trigger workflows, and act on real-time signalsWe treat prompt engineering and token economics as first-class engineering disciplines, reviewed in PRs alongside application codeIf you want to ship AI features that millions of customers interact with not just prototype in a notebook this is the role.

Who You AreThe Builder:

Youd rather write a reusable abstraction, a CLI tool, or a code generator than repeat the same manual task twice and you design systems that scale without you babysitting them.

The Troubleshooter:

A user reports a broken checkout flow and you instinctively open the network tabz trace the API call, and pinpoint whether its a frontend state bug, a backend validation edge case, or a data mismatch before anyone else finishes reading the ticket.

The AI Enthusiast:

You treat token budgets and prompt design with the same rigor as component architecture optimizing context windows, evaluating model trade-offs, and shipping AI-powered features that move product metrics.

What Youll DoBuild & Ship Product Features (50%)Design, develop, and own full-stack features across React/Next.js frontends and Node.

js/Express microservicesBuild AI-powered product experiences:

intelligent search, personalized recommendations, automated content generation, and conversational commerce flowsDesign 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 lowImplement agentic patterns: ReAct loops, chain-of-thought planning, reflection/self-critique, memory (short-term context and long-term retrieval), and multi-agent coordinationDevelop and maintain MCP servers that expose ecommerce domain tools (catalog, pricing, inventory, order) to LLM-powered clientsIntegrate LLM APIs into production paths with proper error handling, fallback strategies, and cost guardrailsWrite prompts, evaluation harnesses, and monitoring for AI features treat them as code, version them, review themAI & Automation Requirements & Developer Experience (30%)Optimize frontend performance: Core Web Vitals, page load time, time-to-first-byteDesign APIs (REST, OpenAPI) that are clean, well-documented, and backward-compatibleBuild shared tooling: CLI utilities, code generators, reusable component libraries, and internal developer tools powered by AIImprove CI/CD pipelines, containerized builds, and deployment workflowsParticipate in architecture decisions, code reviews, and technical design documents1+ year hands-on experience integrating LLM APIs (OpenAI, Anthropic, or equivalent) into production or near-production systemsDemonstrated ability to build or extend AI agents that use tool-calling, function execution, and structured outputProven approach to token budget management: prompt optimization, caching strategies, cost monitoring dashboardsCollaborate & Grow (20%)Translate business requirements into technical designs with product and design stakeholdersMentor engineers on AI integration patterns, prompt engineering, and modern full-stack practicesStay current with AI/ML tooling, LLM advances, and MCP ecosystem developments bring what you learn back to the teamPosition RequirementsCore Engineering6+ years of experience in Full-Stack JavaScript and TypeScript developmentExtensive experience building scalable full-stack applications and microservices using React, Next.js, Node.js, Express, HTML, and CSSHands-on experience with TypeScript across frontend and backend systemsStrong knowledge of RESTful API design and OpenAPI specificationsExperience designing and integrating APIs, including REST and modern data-fetching patternsExtensive experience working with MySQL, MongoDB, PostgreSQL and Redis, with a solid understanding of data modeling trade-offsFamiliarity with micro-frontend architecture and module federationStrong experience building performant React applications using hooks and state management libraries such as ReduxExperience with cloud-native application development using Docker and containerized environmentsExperience with CDNs, caching strategies, performance optimization, and security considerationsStrong knowledge of JavaScript build tools such as Webpack and modern bundlersProficiency with Chrome DevTools and frontend performance profiling toolsExperience with SPA, PWA, responsive design, and MPA architectures, including performanceStrong experience with data structures, algorithms, and database designProven experience in software architecture, design patterns, and engineering best practicesNice to HaveExperience with public cloud services (AWS, Azure and GCP)Experience with ecommerce/retailExperience with legacy applications migration to modern stackContributions to open-source AI tooling or MCP ecosystemEqual Opportunity EmployerCarParts.com is an equal-opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances. Our management is dedicated to ensuring that we fulfill this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment.

The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the incumbent a general sense of the responsibilities and expectations of his/her position. As the nature of business demands change so, too, may the essential functions of this position.