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Mid-level (4+ yrs) LLM-specialized role with the 3–6 year amplifier, producing medium competition.
Highly specialized LLM and generative AI expertise constrains cross-industry transferability.
Explicit 4+ years and 2+ years LLM experience plus specific generative-AI and RAG skills enforce high strictness.
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Design, develop, and deploy production-ready AI/ML solutions specifically focusing on Large Language Models (LLMs), AI agents, and Retrieval-Augmented Generation (RAG) pipelines.
Build and optimize scalable APIs and intelligent automation workflows using Python frameworks (FastAPI/Flask) and AI technologies including vector databases and orchestration frameworks.
Mentor junior AI engineers, participate in architecture and code reviews, and collaborate cross-functionally to deliver AI-powered enterprise products while ensuring security, privacy, and responsible AI practices.
Minimum 4 years of experience in AI/ML and production software development, with at least 2 years hands-on in Generative AI and LLM-based applications.
Strong experience with Machine Learning, Deep Learning, NLP, Generative AI, and practical use of LLMs such as GPT, Claude, Llama, Qwen, Mistral, or Gemma.
Experience developing AI agents, multi-agent workflows, and implementing Retrieval-Augmented Generation (RAG) architectures.
Work Experience Required: 4+ years in AI/ML; Notice Period: Not explicitly mentioned in the JD.
Deep expertise in Generative AI technologies and practical deployment of LLM-based applications with an emphasis on hands-on model fine-tuning and optimization.
Ability to architect and build complex AI-driven workflows, including multi-agent systems and scalable APIs in enterprise environments.
Comfortable leading technical reviews and mentoring junior engineers, combining strong engineering skills with AI research to innovate and optimize enterprise AI products.