Back
Tier-1 consulting brand, metro location, and a popular AI Engineer title drive high applicant competition.
Generative AI, LLM, and vector-database engineering skills are highly transferable across industries.
Extensive LLM, RAG, vector DB, and integration requirements imply strict technical screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Translate business problems into AI-driven solutions by collaborating with business stakeholders.
Design, prototype, and develop Generative AI applications and production-ready solutions using LLMs, RAG, and AI frameworks.
Build and optimize AI workflows integrating LLMs, vector databases, APIs, and enterprise data for scalable impact.
Experience with Generative AI technologies including Large Language Models and Retrieval-Augmented Generation.
Technical skills in AI model development, prompt engineering, model evaluation, and AI workflow integration.
Work Experience Required: Not explicitly mentioned in the JD.
Not explicitly mentioned: educational qualifications, notice period, or specific location constraints.
Strong experience delivering end-to-end AI solutions in operational or domain-specific contexts.
Proficiency in integrating AI with structured and unstructured enterprise data sources and automation.
Ability to collaborate cross-functionally with business, product, engineering, and data teams to align AI solutions with stakeholder needs.