LTM - AI EngineerLTIMindtreefull-timeRequired skillsAzureC#compliancedata ingestionDevOpsfirmwaremicroservicespredictive analyticsPowerShellPytorchAbout the role LTIMindtree Website: ltimindtree.com Job details: DescriptionKey Responsibilities and Deliverables : Design and build AI solutions for infrastructure validation and TRR automation, including a validation assistant for engineers. Develop intelligent automation that integrates with Azure DevOps (ADO) for pipelines, bug management, and workflow orchestration. Create AI/Copilot systems for predictive analytics and diagnostics across hardware. Build data ingestion and correlation pipelines across multi-source telemetry, logs, and firmware data to support RCA and compliance validation. Implement an AI-driven log analytics platform with intelligent notifications, anomaly detection, and guided remediation workflows. Deliver a bug automation engine integrated with ADO and a knowledge copilot to surface similar incidents, fixes, and best practices. Develop predictive failure detection and firmware compatibility analysis to reduce downtime and improve deployment Skills & Qualifications : LLM engineering : Prompt engineering, retrieval-augmented generation (RAG), fine-tuning/evaluation, and safety/quality best practices. Log analytics, anomaly detection, and root-cause prediction models. Programming : Strong Python; C#, Powershell is a plus for infrastructure integration. AI/ML frameworks & cloud : Azure AI services, OpenAI; experience with PyTorch. Working with large-scale logs, telemetry, building reliable data pipelines. Familiarity with Azure DevOps, pipelines, and bug/incident management systems. Scalable AI system design, including API-based microservices Domain Knowledge : Hardware validation and infrastructure; debugging workflows and failure analysis. Strong problem-solving and analytical thinking in high-scale, data-intensive systems. Ability to collaborate effectively with validation engineers, and infrastructure teams.(ref:hirist.tech) Click on Apply to know more. This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.