AI Solution Engineer

Experience : 4+Years

Location : Bareilly

Mandatory Skills : C#, .NET, Azure, Python, LLM, RAG, Mistral, Llama, Azure Foundry, Agent Framework, Agents SDK, Teams, Cosmos DB, App Service, Container Apps, Azure ML, Azure OpenAI, Azure AI Search, REST API.

What You'll Do

• Design & Develop Scalable AI Solutions: Build and optimize the core architecture and components of the AI Network Management Tool on Microsoft Azure, focusing on data ingestion, processing, indexing, and AI model integration.
• Data Pipeline Engineering: Create robust and efficient data pipelines to collect, transform, and store network data and incident information from diverse sources.
• Database Management: Design, implement, and manage highly available and performant database solutions (both relational and NoSQL) for storing processed data and analytics.
• Azure Cloud Infrastructure: Provision, configure, and manage Azure cloud resources (e.g., Azure Functions, Azure Event Hubs, Azure Data Lake Storage, Azure Blob Storage, Azure AI Search, Azure OpenAI Service) using Infrastructure-as-Code (IaC) principles.
• DevOps & MLOps: Implement and maintain CI/CD pipelines for automated testing, deployment, and monitoring of AI models and application components within an Azure DevOps environment.
• AI Model Integration: Integrate and fine-tune Large Language Models (LLMs) from Azure OpenAI Service, including embedding models for vectorization and advanced LLMs (like GPT-4/GPT-4o) for incident analysis, natural language understanding, and response generation within a RAG framework.
• Problem Solving & Optimization: Troubleshoot and resolve complex technical issues, identify performance bottlenecks, and continuously optimize the platform for efficiency, scalability, and cost-effectiveness.

What You'll Bring

• 4+ years of experience in software engineering or platform engineering, with a strong focus on building and deploying scalable solutions.
• Expert-level proficiency in Python for data manipulation, automation, and API integration.
• Strong experience with database technologies, including both relational databases (e.g., Azure SQL Database) and NoSQL databases (e.g., Azure Cosmos DB).
• Hands-on experience with Microsoft Azure Cloud services, including but not limited to Azure Functions, Azure Event Hubs, Azure Storage (Blob/Data Lake), Azure AI Search, and Azure OpenAI Service.
• Solid understanding and practical experience with DevOps principles and tools, particularly Azure DevOps (pipelines, repos) and Git for version control.
• Proven ability to work with large, complex datasets and unstructured text.
• Excellent problem-solving, analytical, and communication skills.
• #, .NET, Azure, Python, LLM, RAG, Mistral, Llama, Azure Foundry, Agent Framework, Agents SDK, Teams, Cosmos DB, App Service, Container Apps, Azure ML, Azure OpenAI, Azure AI Search, REST API.

Job Types: Full-time, Permanent

Pay: ₹1,000,000.00 - ₹1,500,000.00 per year

Benefits:

• Flexible schedule
• Health insurance
• Paid sick time
• Paid time off
• Provident Fund

Application Question(s):

• What is your current CTC?
• What is your expected CTC?
• What is your official Notice period?

Experience:

• Azure ML, Azure OpenAI, Azure AI Search, REST API.: 4 years (Preferred)
• AI Solution Engineer: 4 years (Preferred)
• #, .NET, Azure,: 4 years (Preferred)
• Python, LLM, RAG,: 4 years (Preferred)
• Mistral, Llama, Azure Foundry, Agent Framework, Agents SDK: 4 years (Preferred)
• Teams, Cosmos DB, App Service, Container Apps: 4 years (Preferred)

Location:

• Bareilly, Uttar Pradesh (Preferred)

Work Location: In person