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Tier-1 employer, metro hybrid role, mid-level generalist ML platform position increases applicant competition.
Specialized ML/AI platform expertise with LLMs, embeddings, and GCP reduces cross-industry transferability.
Explicit 6+ years, mandatory LLM/GCP/vector-search skills, and broad production requirements enforce strict filtering.
Architect and implement scalable multi-agent AI systems focused on natural language data discovery and query generation within an AI-first analytics platform.
Write production-grade code across backend, frontend, and AI components with end-to-end feature ownership, including NL-to-SQL generation, semantic search, and data access services.
Set and enforce engineering quality standards through code reviews, debugging, root cause analysis, and technical leadership within the team.
6+ years of professional software engineering experience with strong coding skills.
Experience building AI-powered applications or working with LLM-based systems in production.
Proficiency in Python and familiarity with relevant technologies: FastAPI, Angular/React, Google Cloud Platform (BigQuery, Vertex AI), and AI/ML frameworks (LangChain, OpenAI APIs).
Work Experience Required: 6+ years; Notice Period: Not explicitly mentioned in the JD.
Strong individual contributor capable of operating at both architectural and implementation depth in AI-driven full-stack development.
Proven track record delivering complex AI features end-to-end, handling ambiguous requirements with robust problem solving and debugging skills.
Experience with agent frameworks and vector-based semantic retrieval, preferably with Google ADK or similar, and familiarity with data governance concepts.