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Tier-1 brand, mid-level fullstack role, metro location and broad skillset attract high competition.
Skills (Python, React, LLMs, cloud, containers) are broadly transferable across industries.
Explicit 5+ years plus many mandatory AI, fullstack, cloud, security and tooling requirements tighten shortlisting.
Design, develop, and implement AI-powered applications and services using Python, FastAPI/Flask, and Google VertexAI.
Develop and maintain semantic search capabilities for enterprise documents using retrieval-augmented approaches to enable contextual information retrieval from unstructured data.
Drive code reviews, coding standards, mentor junior members, support CI/CD pipelines, and ensure solutions meet security, risk, and compliance requirements.
5+ years of proven experience in an AI Engineer role with successful application of AI techniques.
Strong proficiency in Python (including libraries scikit-learn, pandas, NumPy) and experience with FastAPI or Flask for API development.
Hands-on experience with Google VertexAI platform and Large Language Models (LMs), especially Gemini Model.
Bachelor’s degree in computer science/engineering or relevant technology & science.
Experienced in full stack AI/ML application development including both backend (Python, APIs) and frontend (React JS) technologies.
Familiarity with cloud native hosting and container environments such as OpenShift, GCP GKE, Kubernetes, Docker, and CI/CD tools like Gradle, Maven, GitHub Actions.
Capable of working in Agile environments with strong adherence to best practices, code quality, and mentorship responsibilities.