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Specialized GenAI role at a known services firm with mid-level experience attracts strong applicant competition.
Role needs niche GenAI, RAG, LLM, and knowledge-graph expertise, limiting cross-industry transferability.
Explicit 6+ years requirement, 3+ years AI/ML experience, and specific tech mandates make filters strict.
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Develop and integrate enterprise-grade Generative AI and Retrieval-Augmented Generation (RAG) solutions for real-world business use cases.
Build AI applications primarily using Python while working extensively with Transformers, Large Language Models (LLMs), and NLP techniques.
Design, implement, and optimize knowledge retrieval systems using Knowledge Graphs and Elasticsearch to improve scalability, accuracy, and performance.
Strong programming skills in Python.
Hands-on experience building and deploying enterprise RAG solutions.
Understanding of Transformers, LLMs, Knowledge Graphs, and Elasticsearch.
Work Experience Required: 6+ years overall, with minimum 3+ years in AI/ML solution implementation; Bachelor's or Master's degree in Computer Science, AI, Data Science, IT, or related field.
Experienced AI/ML engineer with proven operational ownership of end-to-end Generative AI and RAG enterprise solution delivery.
Technical proficiency in Python development combined with deep familiarity with NLP models, knowledge graphs, and scalable search technologies.
Focused on designing practical, scalable AI systems aligned to business needs, capable of translating complex requirements into optimized AI-driven products.