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Mid-level metro role with recognizable brand but specialized AI stack reduces pure competition.
Role requires specialized LLM, vector search and BigQuery experience, limiting cross-industry transferability.
Mandatory 6+ years and specific LLM, GCP, backend stack increases filtering stringency.
Lead design and implementation of core AI capabilities in an intelligent data analytics platform including multi-agent orchestration and NL-to-SQL generation.
Write production-grade code across full stack (backend APIs, frontend interfaces) and AI components, ensuring delivery of complex features end-to-end.
Own architectural decisions, code quality, debugging, and act as the technical anchor supporting team standards and problem resolution.
6+ years professional software engineering experience with strong hands-on coding skills.
Experience building AI-powered applications or production LLM-based systems.
Proficient with Python (primary), backend frameworks (FastAPI), frontend technologies (Angular/React), and GCP technologies (BigQuery, Vertex AI).
Work Experience Required: 6+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced in architecting scalable AI systems involving multi-agent orchestration and LLM integrations.
Proven ability to independently design, develop, and maintain complex full-stack AI solutions with strong debugging skills.
Familiar with vector embeddings, semantic search, prompt engineering, RAG pipelines, and data governance concepts.