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LeadFull-timeTypeScriptNode.jsRailsMicroservicesGitGoAIAPI
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are building an AI-first scheduling and booking intelligence layer on top of a universal Calendars & Availability Platform. As the Lead Engineer for the Calendar AI Team, you will architect and deliver AI systems that assist users during setup, configuration, and optimization of their booking systems - and evolve this into a full AI-driven scheduling engine that optimizes capacity, utilisation, and resource allocation.
Key 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
