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Ai Tech Lead
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Ai Tech Lead

Archana M's profile picture
Posted by Archana M
8 - 12 yrs
₹12L - ₹24L / yr
Pune
Skills
Artificial Intelligence (AI)
Retrieval Augmented Generation (RAG)
Large Language Models (LLM)
LLM
RAG
ML
skill iconMachine Learning (ML)


Position Overview: The AI Tech Lead will architect and guide the implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications. The role requires strong architectural judgment, hands-on expertise in AI/LLM systems, and the ability to define high-performance, scalable best practices. 


Key Responsibilities: 

• Architect and guide implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications 

• Design and develop distributed, provider-agnostic AI architectures with performance guarantees including low latency, resilient failover, distributed scaling, and cost-efficiency 

• Define architectural best practices for GenAI systems including prompt design, context shaping, fallback logic, caching, and real-time agent orchestration 

• Lead AI model governance including evaluation and selection frameworks for multiple LLM providers, routing logic, benchmarking, and cost management 

• Establish and monitor KPIs for LLM quality, latency, reliability, grounding accuracy, and system stability 

• Ensure data security practices for handling of voice and transcript data, applying PII-safe methods, and supporting multi-tenant data isolation 

• Own knowledge integration and RAG architecture including vector databases, retrieval strategies, chunking policies, and hybrid grounding methods 

• Continuously evaluate new model capabilities and AI technology trends  


 Required Skills: 

• Architectural judgment and hands-on expertise in AI and LLM systems 

• Experience designing scalable and low-latency AI architectures 

• Knowledge of multi-provider LLM integration and orchestration 

• Understanding of distributed systems, microservices, and load balancing 

• Strong grounding in AI model governance and benchmarking 

• Awareness of data security and privacy best practices 

• Experience with retrieval-augmented generation (RAG) and vector databases  


 Preferred (Bonus) Skills: 

• Experience with function-calling and knowledge graphs 

• Familiarity with hybrid grounding and retrieval enhancement strategies 

• Experience with voice automation systems (STT/TTS pipelines)

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Shubham Vishwakarma

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