AI Tech Lead

About the job

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 failover 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 • 8+ years in software engineering, distributed systems, or AI platforms. • 3+ years hands-on experience with LLM / GenAI systems in production. • Strong knowledge of : • LLMs & prompt engineering • Real-time / streaming systems • Microservices and scalable architectures • Cost-aware system design & AI safety fundamentals • Excellent communication and collaboration skills. Preferred Skills • Experience with vector DBs (Pinecone, Weaviate, FAISS, OpenSearch) • Cloud platforms : AWS, Azure, GCP • Streaming & messaging systems (Kafka, Pub / Sub) • Voice AI or agentic workflow experience

Requirements

• AI architecture
• LLM systems
• Microservices
• AI safety
• Real-time systems

Preferred Technologies

• AI architecture
• LLM systems
• Microservices
• AI safety
• Real-time systems