Back
Tier-1 brand, metro location, and mid-level generalist ML/platform role create high applicant competition.
Specialized LLM, embeddings, and semantic search expertise means high background sensitivity across industries.
Mandatory 5+ years, production LLM/AI experience and specific cloud/tech stack make shortlisting highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and implementation of core AI capabilities in a scalable Intelligent Data Analytics Platform, focusing on multi-agent orchestration, natural language-to-SQL generation, and semantic data discovery.
Write production-grade full-stack code (Python backend with FastAPI, Angular/React frontend) for AI-powered data exploration features, managing end-to-end delivery including deployment and monitoring.
Anchor the engineering team technically by solving complex problems, setting standards, performing root cause analysis, and collaborating cross-functionally with Product and Data Engineering teams.
5+ years of professional software engineering experience with strong hands-on coding skills.
Experience building AI-powered applications or working with LLM-based systems in production.
Proficiency in Python (primary), with full-stack development experience including FastAPI backend and Angular/React frontend.
Work Experience Required: 5+ years; Notice Period: Not explicitly mentioned in the JD.
Senior individual contributor comfortable operating at both architectural and implementation depths with ownership of complex AI/ML features end-to-end.
Experience with AI/ML technologies such as Google ADK, LangChain, OpenAI/Gemini APIs, and familiarity with embedding pipelines and semantic retrieval systems.
Demonstrated ability to manage ambiguity and deliver robust, tested software independently while collaborating effectively with multiple teams in a cloud (GCP) and data-centric environment.