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Kasadara Technology Solutions
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Coimbatore · On-site · 10-13 Yrs · 3 days ago
3 views
Software Development · 51 to 200 Employees · Coimbatore, India
1 open role1 posted in 7d1 in 30d
Work-life balance 4.6Compensation & benefits 4.4Culture & values 4.6
Hiring: Engineering
What employees say
+ Attended for testing role. supportive staffs
− Good for early stage of carrier.
More reviews on the company profile.
Interview experience · Software Developer Trainee
The overall interview process was very good. In first round they asked total 50 questions (20 questions in aptitude, 5 questions in data interpretation, 5 questions in reading comprehension, 5 questions in logical reason
Difficult difficulty · Coimbatore · 5 reports
More interview insightsJob description
Overview
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.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
- Evaluate emerging AI technologies, frameworks, and trends.
- Recommend and implement innovative approaches to enhance organizational AI capabilities.
Qualifications
- 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
- 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)
- 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
- Knowledge Systems
- SQL, PostgreSQL, Azure SQL
- Databricks and Delta Lake
- NoSQL Databases
Nice to have
- 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
- 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
Education
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
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Job application FAQ
Last updated 4 October 2026
- How do I apply for AI Engineer (Data & AI Practice) at Kasadara Technology Solutions?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Kasadara Technology Solutions may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI Engineer (Data & AI Practice) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Engineer (Data & AI Practice) remote or on-site in Coimbatore, Tamil Nadu?
- This listing is marked on_site with location Coimbatore, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this AI Engineer (Data & AI Practice) role at Kasadara Technology Solutions?
- This is a mid-level AI Engineer (Data & AI Practice) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.