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Tier-1 brand, mid-level 5+ years, generalist full-stack title, and metro location create high applicant density.
Role demands specialized LLM/VertexAI and cloud/container experience, making industry transferability limited and sensitivity high.
Explicit 5+ years plus mandatory LLM/VertexAI, React, OpenShift/Kubernetes, OAuth2, and CI/CD skills imply high filtering strictness.
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Design, develop, and implement AI-powered applications using Python, FastAPI/Flask, and Google VertexAI.
Develop and maintain semantic search capabilities for enterprise documents using retrieval-augmented approaches.
Drive code reviews, mentor junior team members, and support CI/CD pipelines adhering to DevOps and security compliance.
5+ years of proven AI Engineer experience with successful real-world AI solutions.
Strong proficiency in Python (including scikit-learn, pandas, NumPy) and experience with FastAPI or Flask web frameworks.
Hands-on experience with Google VertexAI platform, fine-tuning Large Language Models especially Gemini Model.
Bachelor’s degree in computer science/engineering or relevant technology & science.
Experienced in full stack AI application development including backend APIs and front-end (React JS).
Familiar with deployment and containerization technologies such as Docker, OpenShift, Kubernetes, and cloud native environments (GCP GKE, Cloud Run).
Skilled in secure API design, authentication/authorization (OAuth2, Spring security), and Agile development practices.