COIMBATORE · FULLTIME
AI Engineer (Data & AI Practice)

Kasadara Technology Solutions
Coimbatore · onsite · Posted 3d ago
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Section · 01
About this role
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 stable and motivating environment 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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Section · 02
Skills
Section · Company
About Kasadara Technology Solutions

Kasadara Technology Solutions
IT Services & Consulting
100
employees
2019
7 years old
Coimbatore, Tamil Nadu
India
₹10.5L PA avg
Avg at Kasadara Technology Solutions
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Employee ratings
10 reviews
Culture
3.8
Career growth
3.4
Work-life
3.6
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