1. Job Title: Software Developer/Engineer
2. Introduction/Overview: NO DETAILS FOUND
3. Roles & Responsibilities: Design and develop scalable, robust, and secure software applications, Lead the integration of GenAI services on Azure including Azure Machine Learning, Cognitive Services, and Bot Service, Monitor and optimize LLM performance/cost using Azure Monitor and Application Insights, Address and deploy prompt fixes and updates for software maintenance and iterative improvements, Manage document ingestion pipelines for efficient data processing and storage solutions, Maintain vector databases optimizing for performance and data integrity, Develop and refine prompt flows for conversational AI to enhance user experience and system responsiveness, Implement and maintain Azure AI search features ensuring high search relevance and performance, Mentor junior developers providing guidance and support, Ensure adherence to coding standards and participate in code reviews, Collaborate with cross-functional teams to define project scopes and deliverables, Communicate effectively with stakeholders for requirements gathering and project updates, Stay current with emerging technologies and industry trends
4. Years of Experience: 5-10 years of experience in software development with a focus on Azure cloud services and AI integration
5. Education Qualification: Bachelor of Engineering (BE)
6. Skills/Knowledge: Deep expertise in Azure Machine Learning service, Azure Cognitive Services, Extensive experience with Azure Bot Service, Azure Functions, Logic Apps, Azure Storage options, Proficient in Azure DevOps for CI/CD pipelines, security best practices, monitoring, diagnostics, Kubernetes Service (AKS), Strong understanding of Azure API Management, Data Factory, Databricks, Cosmos DB, SQL Database, PowerShell scripting, Advanced knowledge of Azure Resource Manager (ARM) templates, Virtual Networks, Active Directory, OAuth, Azure security, Proficiency in .NET Full Stack Development including C#, .NET Core/Framework, ASP.NET MVC, Web API, Entity Framework, LINQ, front-end technologies, Experience with Azure DevOps tools including Repos, Pipelines, Artifacts, Test Plans, Boards, security and compliance features
7. Domain/Industry: NO DETAILS FOUND
8. Key Competencies: Leadership in software development, Azure cloud services expertise, AI integration skills, Mentoring abilities, Strong communication, Adherence to coding standards, Collaboration with cross-functional teams, Continuous learning and adaptation to emerging technologies
9. Employment Type: FULL_TIME
10. Company Overview: LTI Mindtree is a global technology consulting and digital solutions company, Operations in 30 countries, Helps clients succeed in a converging world, Offers strategic IT consulting, cloud, AI, and digital solutions
11. Benefits & Opportunities: NO DETAILS FOUND
12. Location & Travel: Travel requirements 0-25% of the time, Working shift EMEA, Work location Chennai, Work Flexibility HYBRID_MODEL