About The Role

We are looking for a highly skilled AI Engineer to join our Data &

- AI Practice and drive the design, development, and deployment of enterprise-scale AI and Generative AI solutions. The ideal candidate will have strong expertise in Machine Learning, Large Language Models (LLMs), Agentic AI, cloud-native architectures, and MLOps, with a proven track record of delivering production-ready AI solutions that create measurable business impact.

Key Responsibilities

AI Solution Development

- Design, develop, and deploy scalable AI, Machine Learning, and Generative AI solutions.

- Build intelligent applications leveraging LLMs, RAG frameworks, AI Agents, and cloud-native architectures.

- Develop enterprise AI solutions focused on automation, knowledge management, and business transformation.

AI Engineering &
- Integration

- Build AI-powered applications, APIs, and intelligent workflows.

- Integrate AI solutions with Microsoft 365, Power Platform, Dynamics 365, SharePoint, Teams, and other enterprise platforms.

- Develop secure and scalable integrations with internal and external systems.

Data Engineering &
- MLOps

- Design AI-ready data pipelines and data processing frameworks.

- Implement end-to-end MLOps practices including model training, deployment, monitoring, and optimization.

- Ensure scalability, reliability, and cost efficiency of AI workloads.

Cloud, Security &
- Governance

- Develop and deploy AI solutions on Microsoft Azure.

- Ensure adherence to Responsible AI principles, security standards, governance frameworks, and compliance requirements.

- Optimize cloud infrastructure for performance, scalability, and availability.

Leadership &
- Collaboration

- Collaborate with architects, data engineers, developers, and business stakeholders.

- Provide technical leadership, mentor engineering teams, and conduct code reviews.

- Drive engineering best practices and innovation initiatives.

Innovation

- Evaluate emerging AI technologies, frameworks, and trends.

- Recommend and implement innovative approaches to enhance organizational AI capabilities.

Required Technical Skills

AI &

- Generative AI





- Large Language Models (LLMs) and Foundation Models

- Retrieval Augmented Generation (RAG)

- Agentic AI and Multi-Agent Systems

- Prompt Engineering and Prompt Optimization

- AI Copilot Development

- Fine-tuning, Model Evaluation, Guardrails, and Responsible AI

- Embeddings, Semantic Search, Vector Databases, and Knowledge Retrieval

- NLP, Deep Learning, and Applied Machine Learning

Programming &
- Application Development

- Python (Mandatory)

- FastAPI, Flask, and API Development

- LangChain, LlamaIndex, Semantic Kernel, AutoGen/CrewAI

- Microservices Architecture

- REST APIs and Event-Driven Integrations

- Git, Unit Testing, and Secure Coding Practices

- C#/.NET (Good to Have)

Microsoft AI &
- Cloud Stack

- Azure OpenAI Service

- Azure AI Foundry

- Azure AI Search

- Azure Machine Learning

- Azure Functions

- Azure Kubernetes Service (AKS)

- Azure API Management

- Microsoft Fabric

- Experience deploying enterprise AI workloads on Azure

Data Engineering &
- Knowledge Systems

- SQL, PostgreSQL, Azure SQL

- Databricks and Delta Lake

- NoSQL Databases

- Data Modeling and Data Pipelines

- Vector Databases (Pinecone, Qdrant, ChromaDB, FAISS)

- Knowledge Graphs and Graph Databases (Good to Have)

MLOps, LLMOps &
- DevOps

- MLflow and Model Lifecycle Management

- Docker and Kubernetes

- CI/CD using Azure DevOps or GitHub Actions

- Model Monitoring and Observability

- Infrastructure as Code (Terraform/Bicep)

- LLMOps, Prompt Versioning, Evaluation Frameworks, and Governance

Enterprise Integration &
- Security

- Microsoft Graph API

- Microsoft 365, SharePoint, Teams

- Power Platform and Dynamics 365

- Microsoft Entra ID

- OAuth, OpenID Connect, and Enterprise Authentication





- Enterprise System Integration and API Management

- Security, Compliance, Responsible AI, and Data Governance

Nice-to-Have Skills

- Microsoft Copilot Studio

- Custom Copilot Development

- Multi-modal AI (Text, Vision, Audio)

- Computer Vision

- Speech AI

- AI-powered Automation

- Event-Driven Architecture

- IoT and Edge AI Solutions

Preferred Certifications

- Microsoft Certified: Azure AI Engineer Associate

- Microsoft Azure AI Foundry Certification

- Microsoft Certified: Azure Solutions Architect Expert

- Databricks Certified Associate/Professional

- AI/ML certifications from leading cloud providers

Experience Requirements

✅ 10–14 years of overall software engineering experience

✅ 4 years of hands-on AI / Machine Learning experience

✅ 2 years of Generative AI experience

✅ Strong experience with Microsoft Azure AI services

✅ Experience building enterprise-grade solutions

✅ Experience working in Agile delivery environments

✅ Proven track record of production AI deployments

Education

- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.

Why Join Us?

Kasadara Technology Solutions – Build Your Future With Us

Kasadara is a Microsoft-certified partner delivering innovative solutions in Dynamics 365, Azure, Power BI, and Salesforce. We are a fast-growing organization head office located in Coimbatore, offering exciting opportunities to work on cutting-edge technologies across diverse industries.

With a supportive leadership team, collaborative work culture, and strong focus on professional development, Kasadara provides a reliable and motivating setting to build a long-term career. We value integrity, teamwork, and employee well-being, making Kasadara an excellent place to grow both professionally and personally.

Join us and be part of a team that shapes the future of technology!

Apply now

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📌 AI Engineer (Data & AI Practice) (Coimbatore)
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📍 Coimbatore