5+ years of full-stack web application development experience using Node.js, JavaScript, TypeScript, and modern frameworks
Extensive experience with React, Next.js, Node.js, Express, HTML, and CSS for scalable applications
1+ year of hands-on experience integrating LLM APIs (OpenAI, Anthropic, or equivalent) into production systems
Strong knowledge of RESTful API design and OpenAPI specifications
Proven experience in software architecture, design patterns, and engineering best practices
Responsibilities
Design, develop, and own full-stack features across React/Next.js frontends and Node.js/Express microservices
Build AI-powered product experiences like intelligent search and automated content generation
Implement agentic systems that autonomously plan and reason over multiple steps
Develop and maintain MCP servers for ecommerce domain tools accessible to LLM-powered clients
Integrate LLM APIs into production paths with error handling and cost guardrails
Write prompts and evaluation harnesses for AI features, treating them as code
Optimize frontend performance and improve CI/CD pipelines
Benefits
Collaborative work environment focused on AI innovation
Opportunity to work on cutting-edge AI features impacting millions of users
Mentorship opportunities to grow in AI integration and full-stack practices
Access to the latest AI/ML tooling and resources
Involvement in architecture decisions and technical design discussions
Full Job Description
This role is full-time, in-office at our Long Beach, CA headquarters. We're not able to offer remote or hybrid arrangements, so please only apply if you're able to work onsite full-time.
We are investing heavily in AI-powered engineering - building intelligent agents, integrating LLMs into our platform, and developing MCP (Model Context Protocol) servers to orchestrate context-aware automation across our ecommerce stack. This role sits at the intersection of full-stack engineering and applied AI.
Why This Role Is AI-Forward
This 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 extra
We are building production AI agents that automate merchandising, search relevance, customer support triage, and content generation
Our agents use agentic patterns - autonomous planning, multi-step reasoning, tool orchestration, self-correction, and human-in-the-loop checkpoints - not simple prompt-response chains
Our platform exposes MCP servers so LLM-powered tools can read catalog data, trigger workflows, and act on real-time signals
We treat prompt engineering and token economics as first-class engineering disciplines, reviewed in PRs alongside application code
If you want to ship AI features that millions of customers interact with - not just prototype in a notebook - this is the role.
Who You Are
The Builder:You'd 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 tabztrace the API call, and pinpoint whether it's 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 You'll Do
Build & Ship Product Features (50%)
Design, develop, and own full-stack features across React/Next.js frontends and Node.js/Express microservices
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:ReActloops, 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, andcostguardrails
Write prompts, evaluation harnesses, and monitoring for AI features - treat them as code, version them, review them
AI & Automation Requirements & Developer Experience (30%)
Optimize frontend performance: Core Web Vitals, page load time, time-to-first-byte
Design APIs (REST,OpenAPI) that are clean, well-documented, andbackward-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
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
Can evaluate AI-generated code for correctness, security, and performance - not just accept output blindly
Nice to Have
Experience with public cloud services (AWS, Azure, GCP)
Experience with ecommerce/retail purchase journeys
Experience migrating legacy applications to modern stacks
Familiarity with vector databases (Pinecone,Weaviate,pgvector) and RAG pipelines
Experience with agent frameworks (LangChain,LangGraph,CrewAI) or custom orchestration loops
Experience fine-tuning or distilling models for domain-specific tasks
Contributions to open-source AI tooling or the MCP ecosystem
Experience withGraphQL
About CarParts.com
CarParts.com is an online provider of aftermarket auto parts and accessories. The company was founded in 1999 and is headquartered in Carson, California. CarParts.com offers a wide selection of products from over 100 manufacturers, including replacement parts, performance parts, and accessories for cars, trucks, and SUVs. The company's website features a user-friendly interface that allows customers to easily search for and purchase the parts they need. CarParts.com also offers free shipping on orders over $50 and a 90-day return policy.
