AI Tech Lead

Displays And Beyond

10 - 14 years

18 - 19 Lacs

pune

Posted:1 day ago| Platform:

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Skills Required

ai architecture stt tts rag architecture voice automation architect llm ai tech lead

Work Mode

Work from Office

Job Type

Full Time

Job Description

Goal: Hire one strong AI Tech Lead who can architect and guide implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications
The role requires architectural judgment, hands-on AI/LLM expertise, and the ability to define best practices, performance benchmarks for scalable, low- latency AI products
The Tech Lead will lead design and development of distributed, provider-agnostic AI architectures (multi-provider LLMs, STT/TTS chains, microservices)with performance guarantees including low speech-to-speech latency, resilient failover, distributed scaling, load balancing, and cost-efficient inference paths
They will define architectural dos and donts for GenAI systems: prompt design and safety patterns, context shaping, fallback logic, caching, and real- time agent orchestration
They will lead AI model governance, including evaluation and selection frameworks for multiple LLM providers, routing logic, benchmarking, prompt- safety controls, context-window optimization, token efficiency, and overall cost management
They will establish KPIs for LLM quality, latency, reliability, grounding accuracy, and system stability, and continuously evaluate new model capabilities and trends
They will ensure data security include ensuring sensible handling of voice/transcript data, applying basic PII-safe practices, and supporting retention/isolation needs in multi-tenant flows
The Tech Lead will own knowledge integration and RAG architecture: vector databases, retrieval strategies, chunking policies, context enhancement, hybrid grounding methods, and trends such as function-calling and knowledge graphs
They will ensure retrieval quality is high enough for accurate, safe, and domain-grounded AI responses.

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