AIML Engineer – Compute & Storage

Role Overview

We are seeking an experienced AIML Engineer – Compute & Storage to design, build, and deploy AI-powered solutions that enhance infrastructure operations across Compute,

Virtualization, Linux, Windows, Cloud, and Storage platforms. The role requires expertise in

Generative AI, LLMs, RAG, Machine Learning, AI Automation, MLOps, and Intelligent

Operations to drive predictive, autonomous, and self-healing infrastructure services.

Key Responsibilities

AI & Generative AI Engineering

∙Design and develop AI-powered applications using Python and up-to-date AI frameworks.

∙Build and deploy enterprise-grade solutions leveraging LLMs, GenAI, Agentic AI, and

RAG architectures.

∙Develop conversational AI assistants, infrastructure copilots, and intelligent automation agents.

∙Integrate AI services with enterprise ITSM, monitoring, observability, and cloud platforms.

∙Engineer prompt frameworks, guardrails,



model evaluation, and response optimization mechanisms.

Compute & Storage AI Operations

∙Develop AI-driven solutions for infrastructure monitoring, capacity management,

performance optimization, and incident prediction.

∙Implement predictive analytics for compute, virtualization, Linux, and storage environments.

∙Build self-healing automation workflows for infrastructure operations.

∙Design AI models for anomaly detection, resource forecasting, and root cause analysis.

∙Enable intelligent operations through autonomous decision-making and remediation workflows.

RAG & Knowledge Engineering

∙Design and implement RAG solutions using LangChain and vector databases.

∙Develop document ingestion, embedding, semantic search, and knowledge retrieval

📌 Machine Learning Engineer (Bengaluru)
🏢 SPG Consulting
📍 Bengaluru