Lead Backend Engineer – Calendar AI
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Job Description
Lead Engineer for the Calendar AI Team at HighLevel designing and delivering AI systems for booking optimization and scheduling. Overseeing implementation of LLM workflows and backend integrations.
Responsibilities:
- Design and implement LLM-powered onboarding assistants using Google/OpenAI/Anthropic models with deterministic orchestration (LangChain, LlamaIndex, custom pipelines)
- Build RAG workflows using vector databases (Pinecone, Weaviate, Qdrant, pgvector) to inject contextual booking data into model prompts
- Develop AI-driven configuration engines that translate natural language into structured booking primitives (services, schedules, resources, capacity, pricing rules)
- Design optimization models for resource utilization, workload distribution, capacity forecasting, and conflict reduction
- Integrate AI pipelines into backend systems using Node.js/TypeScript/Go services
- Build scheduling-aware reasoning modules that handle constraints, buffers, lead times, resource availability, and business rules
- Create scalable data pipelines for embeddings generation, context indexing, and model fine-tuning/hybrid retrieval
- Implement latency-optimized inference orchestration with streaming responses, caching, and hybrid decision engines
- Own the AI Runtime Layer enabling vertical-specific booking logic, plugins, actions, and smart suggestions
- Lead and mentor the engineering team, enforce architectural standards, and drive long-term AI roadmap
Requirements:
- 5+ years of backend engineering experience, with at least 2 years building LLM, RAG or intelligent systems
- Experience with OpenAI/Anthropic/Google/Meta LLMs (GPT-4+, Claude, Gemini, Llama)
- Strong with LangChain, LlamaIndex, or custom LLM orchestration frameworks
- Expertise with RAG architectures
- Experience building prompt pipelines, tools/agents, and compound reasoning workflows
- Comfort with guardrails, validation layers, hallucination reduction, and safety
- Strong proficiency in Node.js/TypeScript/Go for platform integration
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