EXP : 7+ Yrs

Location : Bangalore

Role Overview
We are looking for a highly experienced AI Lead Engineer to provide technical leadership for the design, development, deployment, and scaling of enterprise-grade AI/ML and Generative AI solutions.
The ideal candidate should combine solid hands-on engineering capabilities with AI architecture and technical leadership skills. This role requires deep expertise across traditional ML, Deep Learning, LLMs, RAG, Agentic AI, MLOps, cloud platforms, and production AI engineering.
The individual will be responsible for translating complex business requirements into scalable AI solutions, making critical architecture and model-selection decisions, leading experimentation, driving solutions from POC to production, and mentoring AI/ML engineers.
This is a hands-on technical leadership position. Candidates whose experience is primarily project/program management without significant AI engineering and architecture ownership may not be suitable.

Key Responsibilities
1. AI/ML & Deep Learning Engineering
• Design,



develop and optimize advanced Machine Learning and Deep Learning solutions.
• Build production-grade AI applications using Python and modern software engineering practices.
• Apply strong knowledge of data structures, algorithms, software architecture, design patterns and clean architecture.
• Evaluate and select appropriate ML/DL algorithms and model architectures.
• Work extensively with Transformers, NLP, LLMs and Deep Learning architectures.
• Lead advanced model evaluation, error analysis and systematic model improvement.
• Establish robust ML experimentation, benchmarking and statistical evaluation frameworks.

2. Generative AI & LLM Engineering
• Design and implement enterprise-grade Generative AI and LLM-based solutions.
• Implement RAG architectures, embeddings, semantic search and vector databases.
• Fine-tune and customize LLMs using techniques such as LoRA, PEFT and QLoRA.
• Design prompt engineering and LLM or

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