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Tier-1 bank, mid-level fullstack AI role in metro with broad skillset draws strong applicant competition.
AI, fullstack, and cloud skills are broadly transferable across industries, reducing background sensitivity.
Multiple mandatory tech skills and explicit 5+ years experience make shortlisting highly selective.
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Design, develop, and implement AI-powered applications and services using Python, FastAPI/Flask, and Google VertexAI.
Develop and maintain semantic search capabilities using retrieval‑augmented approaches for enterprise documents to enable contextual information retrieval from unstructured data.
Drive code reviews, enforce coding standards, mentor junior members, and collaborate across teams to deliver features and maintain CI/CD pipelines following DevOps best practices.
Minimum 5+ years experience in an AI Engineer role applying AI techniques to real-world problems.
Proficiency in Python (with libraries like scikit-learn, pandas, NumPy) and web frameworks FastAPI or Flask.
Hands-on experience with Google VertexAI platform, Large Language Models (e.g., Gemini Model), containerization tools (Docker, OpenShift, Kubernetes), and CI/CD tools (Gradle, Maven, GitHub Actions).
Bachelor’s degree in computer science/engineering or relevant technology; specific notice period: Not explicitly mentioned in the JD.
Experienced full stack AI engineer capable of working with cutting-edge ML platforms and large language models, with strong backend (Python) and frontend (React JS) development skills.
Comfortable navigating cloud native hosting (OpenShift, GCP GKE), containerization, and secure API management, including OAuth2 and Spring Security.
Proven at participating in Agile environments, mentoring junior engineers, enforcing coding standards, and collaborating with product managers, architects, QA, and DevOps teams.