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Senior-level role with niche AI/LLM skills but common Data Engineer title and metro location increases competition.
Strong data engineering and AI specialization makes the role moderately transferable across industries.
Explicit 9+ years, master's degree, and specific data/AI technical requirements enforce strict shortlisting.
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Design and build scalable, highly available backend systems for enterprise analytics and AI-powered data assistants.
Develop AI Data Assistants with conversational interfaces and build semantic search and root cause analysis capabilities.
Lead and mentor a team of engineers while partnering with data scientists, analysts, and product managers to solve retail industry challenges.
Master’s degree in computer science, engineering, or related field.
9+ years experience as a Data Engineer with expertise in large-scale data solutions and products.
Proven ability in architecting distributed backend systems in cloud environments (preferably GCP).
Hands-on experience with agentic AI systems, Large Language Models (LLMs), semantic search, and modern data pipeline design.
Demonstrated technical leadership with experience mentoring engineers and driving complex projects to completion.
Experience working with conversational analytics platforms, agent development frameworks (e.g., ADK), or retail/e-commerce domain is advantageous.
Strong expertise in semantic search, vector databases, and integrating AI/ML technologies into enterprise data platforms.