A hands-on No-Code Developer with strong LLM prompt engineering skills and API integration experience, to build smart automation workflows and design prompt pipelines to integrate Large Language Models with car stock/inventory APIs - helping dealerships offer real-time, intelligent responses and insights to their users.
Key Responsibilities:
Build no-code workflows using tools like Make (Integromat), Xano, Bubble, Zapier, or similar platforms
Craft high-quality, context-aware prompts for LLM interactions (e.g., ChatGPT/OpenAI, Claude)
Integrate LLMs with car stock APIs, dealership CRMs, and inventory databases
Design prompt workflows that enable natural, contextual conversation and automation around vehicle listings, comparisons, and availability
Implement validation, error-handling, and fallback logic across workflows
Translate product requirements into scalable automation flows with minimal developer dependency
Continuously optimize prompts and automations for speed, accuracy, and customer engagement
Collaborate with product and content teams to bring AI-driven features to market.
Required Skills:
Demonstrated expertise with no-code/low-code platforms (e.g., Bubble, Make, Zapier, Xano)
Deep understanding of LLMs and prompt design, including prompt chaining and refinement
Experience integrating third-party APIs (especially auto industry APIs like CAP HPI, AutoTrader API, or similar)
Strong command of data parsing, JSON formatting, and logic-based automation
Familiarity with automotive listing structures (e.g., make, model, year, mileage, price, spec)
Fast learner, problem-solver, and agile mindset to adapt in a startup setting
Nice to Have:
Experience with AI-powered bots or conversational UI tools
Prior exposure to car dealership systems or auto industry platforms
Familiarity with embedding models, RAG frameworks, or vector databases
UI design exposure to build or tweak no-code dashboards or customer flows
No-Code Development, Prompt Engineering, API Integration, Workflow Automation, Make (Integromat), Xano, Bubble, Zapier, ChatGPT, Claude, LLM Integration, Prompt Chaining, Prompt Refinement, Third-Party API Integration, Auto Industry APIs, JSON Parsing, Data Formatting, Error Handling, Logic-Based Automation, Automotive Data Structures, Agile Mindset, Conversational UI, AI Chatbots, Car Dealership Systems, Embedding Models, RAG Frameworks, Vector Databases, UI Design.