LLM / AI Engineer – Voice, SMS, Email & CRM Automation

Job Description

LLM / AI Engineer – Voice, SMS, Email & CRM Automation SimpSocial | Full-Time | Permanent | Immediate Hire SimpSocial is looking for an experienced LLM / AI Engineer to help build and improve our conversational AI platform for automotive dealerships. We are looking for someone with hands-on experience building production AI agents that communicate naturally with customers across Voice, SMS/Text, and Email , understand CRM data and workflows, and can move real automotive customers from an initial inquiry to a confirmed dealership appointment. About SimpSocial SimpSocial is an automotive technology company building an AI-powered SaaS and CRM automation platform for dealerships . Our technology communicates with dealership customers across multiple channels, including: AI Voice conversations SMS / Text messaging Email CRM-integrated customer follow-up Lead nurturing Appointment scheduling BDC and sales automation Our AI doesn't exist simply to answer questions. Its purpose is to hold natural conversations, understand customer intent, follow dealership processes, and convert opportunities into appointments and ultimately vehicle sales. What You'll Work On You will help develop and improve AI agents that can: Conduct natural AI voice conversations Communicate conversationally through SMS/Text Generate intelligent and contextually relevant email responses Maintain conversation context across channels Understand customer intent and buying signals Answer vehicle and dealership-related questions Qualify automotive leads Handle common customer questions and objections Determine when and how to ask for an appointment Identify appropriate appointment dates and times Schedule and confirm dealership appointments Follow up when customers don't respond Recognize when a human salesperson or BDC agent should take over Write conversations, activities, and appointments back into the CRM Multi-Channel AI Is Important A major part of this position is understanding that Voice, Text, and Email are different communication channels. The same customer may: Text the dealership → receive an AI response → speak with the AI by phone → receive an email → respond by text → schedule an appointment. The AI needs to understand that this is one customer and one continuous conversation , not five unrelated interactions. You will help us build the intelligence and architecture required to maintain that context and relevance across channels. CRM Experience Is a HUGE Plus Previous experience with CRM systems, sales automation, lead-management platforms, appointment-setting technology, or customer communication platforms is extremely valuable. Automotive CRM or automotive technology experience is an even bigger plus. You should understand workflows involving: Customer and lead records Lead sources Vehicle inquiries Salesperson assignments Customer activity histories Tasks and follow-up Appointments CRM notes Lead status Communication history Multi-store environments User permissions API integrations Data synchronization Technical Experience We're Looking For Strong experience with several of the following: Large Language Models (LLMs) Conversational AI AI Voice Agents Speech-to-Text / Text-to-Speech Real-time voice AI LLM APIs Prompt engineering Agentic AI Function / Tool Calling Structured Outputs Conversation state management Context and memory architecture RAG / retrieval systems Vector databases and embeddings Python JavaScript / TypeScript REST APIs Webhooks JSON SQL / databases CRM integrations SMS integrations Email integrations Telephony integrations LLM evaluations and testing Production monitoring and logging Experience That Will Get Our Attention We are particularly interested in candidates who have already built: AI Voice Agents AI appointment setters AI sales agents CRM-integrated chatbots SMS conversational AI AI email response systems Automotive chatbots Lead-response AI Customer-service AI BDC automation Multi-channel conversational AI Production LLM applications handling real customers Production experience is a major plus. We want someone who has dealt with the challenges of real customers, real conversations, latency, interruptions, context, hallucinations, API failures, integrations, and unpredictable customer responses. The Question We Want Our AI Engineer Asking When a customer doesn't schedule an appointment, we don't simply want to know whether the AI technically responded. We want to know: Why didn't the customer book? Was it the prompt? Was the response irrelevant? Did the AI misunderstand the customer's intent? Did it fail to remember an earlier conversation? Did the voice agent sound unnatural? Did it ask for the appointment too early or too late? Did it fail to use information available in the CRM? Was the appointment availability incorrect? Did the customer switch from voice to text and the AI lose context? Was there an integration or application problem? We need an engineer who can understand the entire customer journey, identify the problem, and improve it. Our Goal We aren't looking to build a basic chatbot. We're building AI that can communicate with automotive customers through Voice, SMS/Text, and Email , understand their history and intent, interact with CRM and dealership data, maintain relevance throughout the conversation, and successfully drive customers toward dealership appointments. Compensation Competitive compensation based on experience, technical ability, and demonstrated production AI experience. Candidates with strong backgrounds in LLMs, Voice AI, conversational AI, CRM integrations, appointment-setting technology, or automotive technology will receive strong consideration. We are hiring immediately . Send your resume to: jobs@simpsocial.com Subject: LLM / AI Engineer – LinkedIn If possible, include examples of AI agents, Voice AI systems, chatbots, CRM integrations, appointment-setting systems, or other LLM applications you've built. Learn more about SimpSocial at SimpSocial.com . If you have any questions about the position, feel free to message me directly on LinkedIn. Pay: Php55,000.00 - Php85,000.00 per month Work Location: Remote