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Metro location, senior Staff title, and niche backend/AI skills yield moderate competition.
Strong SQL AST, LLM integration, and graph-data requirements increase domain specificity and reduce portability.
Explicit 10+ years plus mandatory backend, cloud, and SQL specialization enforces strict filtering.
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Lead backend development and maintenance of Large Language Model (LLM) architectures including RAG, ReAct, and Agent-based systems powering AI applications and extensions.
Design and implement large-scale graph-based data structures and intelligent SQL system focusing on query optimization, dynamic pipeline generation, and column-level data lineage.
Architect and develop scalable backend APIs, microservices, and data pipelines to enhance AI capabilities and data team workflows.
10+ years experience building Python-based web application backends and related infrastructure.
Extensive experience with scalable back-end systems, APIs, microservices, and cloud platforms (AWS, Azure, GCP).
Strong expertise in containerization technologies such as Docker and Kubernetes.
Proficiency in SQL query profiling, optimization, and performance tuning.
Experienced in building high-performance backend systems integrating advanced AI technologies, especially LLMs and agentic AI frameworks.
Strong background in designing scalable data structures such as graph-based models and intelligent SQL systems.
Comfortable working at the intersection of backend engineering and AI innovation with exposure to cloud infrastructure and open-source contributions.