AI Tech Lead / Engineer

Role Overview

We are seeking an AI Tech Lead to architect and implement real-time AI systems, including LLM pipelines, voice automation, and knowledge-enhanced applications. The candidate should have strong hands-on AI / LLM experience and the ability to define best practices, scalable architectures, and system KPIs.

Key Responsibilities

• Lead design of distributed, provider-agnostic AI architectures (multi-LLM, STT / TTS, microservices).
• Define best practices for GenAI systems, including prompt design, safety patterns, caching, and falover logic.
• Own LLM evaluation, routing, and performance benchmarking, ensuring low latency, reliability, and cost efficiency.
• Build and optimize RAG / knowledge integration, vector DB retrieval, and context enhancement pipelines.
• Ensure data security and compliance for voice, transcript, and contextual data.
• Mentor small AI teams (3–6 engineers) and guide technical implementation.

Required Skills

Preferred Skills