Job Title

Job Title: No Code AI EngineerExperience: 3+ YearsLocation: RemoteShift: UK ShiftContract Duration: 3+ MonthsJob SummaryWe are seeking a hands-on No Code Developer with advanced LLM prompt engineering and API integration skills. You will be instrumental in building intelligent automation workflows and designing prompt pipelines that connect Large Language Models (LLMs) with vehicle stock and inventory APIs. Your work will enable car dealerships to deliver real-time, context-aware, and intelligent insights to their users.Key Responsibilities:Develop no-code workflows using platforms like Make (Integromat), Xano, Bubble, Zapier, or similar toolsCraft high-quality, context-aware prompts for LLM interactions (e.g., ChatGPT, Claude)Integrate LLMs with automotive stock APIs, dealership CRMs, and inventory systemsDesign prompt pipelines enabling intelligent conversation around vehicle listings, comparisons, and availabilityImplement validation logic, error handling, and fallback mechanisms in automation workflowsConvert business and product requirements into scalable no-code solutionsContinuously optimize prompts and workflow performance for speed and relevanceWork closely with product and content teams to deliver AI-enabled featuresRequired Skills:Strong experience with no-code/low-code platforms (Bubble, Make, Zapier, Xano)Proficiency in LLM prompt engineering, including prompt chaining and refinementAPI integration experience, especially with automotive industry APIs (e.g., CAP HPI, AutoTrader API)Solid understanding of JSON parsing, data formatting, and logic-based automationFamiliarity with automotive data structures (make, model, year, mileage, price, specifications)Agile mindset and problem-solving abilities in a fast-paced, startup environmentNice to Have:Experience with AI-powered bots or conversational UI toolsPrior work in car dealership systems or related platformsKnowledge of embedding models, RAG frameworks, or vector databasesUI/UX familiarity to build or refine no-code dashboards and customer interfaces