Artificial Intelligence / Machine Learning Lead - LLM / RAG

About the Role :

We're looking for an experienced AI / ML Technical Lead to architect and drive the development of our intelligent conversation engine.

Youll lead model selection, integration, training workflows (RAG / fine-tuning), and scalable deployment of natural language and voice AI components.

This is a foundational hire for a technically ambitious platform.

Key Responsibilities

• AI System Architecture : Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration.
• Model Integration & Prompt Engineering : Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral).
• Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses.
• Data Pipelines & Knowledge Management : Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate).
• Voice & Text Interfaces : Implement and optimize multimodal agents (text + voice) using ASR (e.g., Whisper), TTS (e.g., Polly), and NLP for automated qualification and call handling.
• Conversational Flow Orchestration : Design dynamic, stateful conversations that can take actions (e.g., book meetings, update CRM records) using tools like LangChain, Temporal, or n8n.
• Platform Scalability : Ensure models and agent workflows scale across tenants with strong data isolation, caching, and secure API access.
• Lead a Cross-Functional Team : Collaborate with backend, frontend, and DevOps engineers to ship intelligent, production-ready features.
• Monitoring & Feedback Loops : Define and monitor conversation analytics (drop-offs, booking rates, escalation triggers), and create pipelines to improve AI quality continuously.

Qualifications : Must-Haves :

Nice-to-Haves :

(ref : hirist.tech)