Artificial Intelligence Lead - LLM / RAG

Education : Bachelors or Masters degree in Computer Science, AIML / Data Science, Statistics or a related field only.

Preferred Institution : NIT (Any)

Responsibilities :

• Architect and deploy scalable Large language models (LLM) and transformer-based architectures.
• Implement MLOps / LLMOps best practices for CI / CD, automated model retraining, and lifecycle management.
• Develop advanced AI RAG applications, fine-tune models with PEFT / LoRA, RLHF.
• Productionize RAG pipelines : embedding strategy, vector-DB design (Weaviate / Pinecone / Chroma). Hybrid search, evaluations and guardrails.
• Optimize AI / ML pipelines for distributed computing, leveraging cloud platforms and accelerators (GPUs / TPUs).
• Optimize inference : quantization (INT4 / 8), speculative decoding, TensorRT-LLM / vLLM, or Ray Serve to reduce token costs.
• Work closely with data engineers, software developers, and product managers to integrate AI into production systems.
• Translate complex AI concepts into actionable insights for business stakeholders.
• Establish governance frameworks for ethical AI, ensuring compliance with industry standards.

Required Skills :

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