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7 - 12 yrs
₹20L - ₹28L / yr
Pune
Skills
Artificial Intelligence (AI)
Large Language Models (LLM)
Retrieval Augmented Generation (RAG)

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). give me in a proper formate

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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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About Appiness Interactive Pvt. Ltd.

Founded :
2011
Type :
Product
Size :
100-500
Stage :
Bootstrapped

About

We are a Bangalore based Product Development and UX firm specializing in Digital Services for the whole spectrum, from startups to fortune-500’s. We do not redefine anything or reinvent the wheel.We work closely with startups to create their product and help it get of the ground, and continue support in scaling up strategies and technologies. For our blue-chip clients we bring in to the table our vast experience in bleeding edge technology and pleasurable UX.We create a comprehensive soul for a brand in the online world. We create digital products that infiltrates the public realm and engages the targeted customers of our clients all over the globe through a multiple platforms of Digital Media, including web, mobile and wearables.We have a young, passionate and aggressive team who are not afraid to think out of the box or tread the un-trodden path in order to deliver the best result for our clients. We call it Practical Creativity, where the belief is that the idea is only as good as the returns it fetches for our clients. We are not here to create immortal art; we are here to generate revenue for our clients. We believe in a dynamic and meaningful conversation between our clients and their customers for which we facilitate a medium.
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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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