Competencies & Requirements

.NET &

- Application Development  Mastery of C#, .NET 8, and Web API development.  Strong experience with real-time communication frameworks, specifically SignalR (e.g., implementing live chat and agent hand-off workflows).  Familiarity with Blazor Web Apps is highly preferred.  Proven implementation of Clean Architecture and Domain-Driven Design (DDD).  Ability to structure applications for high scalability and testing isolation.  Advanced proficiency in SQL Server.  Experience with Oracle database integration, specifically creating repositories that handle complex stored procedures returning multiple cursors.  Good knowledge of Microsoft .NET technologies including ASP.NET Core, Blazor/MVC, Web APIs, and Entity Framework.  Familiarity designing, developing, and maintaining backend services and API integrations within .NET-based applications.  Good understanding of .NET application architecture, database integration, authentication/security concepts, and cloud-based deployment environments.  Experience in RESTful API development to integrate AI models with enterprise applications.  Familiarity with Microservices architecture, API-first design, SQL/NoSQL, and Git. AI &
- Machine Learning  Strong understanding of Supervised &
- Unsupervised Learning
- Model Training, Validation, and Evaluation
- Feature Engineering &
- Optimization.  Experience working with Classification, Regression, and Clustering models; model performance tuning and monitoring.  Practical knowledge of Large Language Models (LLMs) such as GPT, Claude.  Knowledge of Prompt Engineering, expertise in Retrieval-Augmented Generation (RAG), and Vector databases (e.g., Pinecone, FAISS, Weaviate).  Experience building conversational AI / chatbots and document processing systems.



 Strong experience with TensorFlow, PyTorch, Scikit-learn.  Familiarity with Python and/or TypeScript for developing or integrating AI-enabled applications, APIs, and automation solutions.  Good understanding of LLMs (Large Language Models), MCP (Model Context Protocol), and RAG (Retrieval-Augmented Generation) concepts.  Knowledge of Generative AI concepts and basic understanding of prompt engineering.  Experience in handling large data sets such as healthcare and genomics data.  Hands-on experience with AWS SageMaker, AWS NextFlow, AWS Bedrock, AWS Lambda, Amazon S3, and IAM.  Ability to deploy, monitor, and scale AI models in production and design cloud-based AI architectures.  Understanding data preprocessing pipelines, handling structured/unstructured data. MLOps, DevOps &
- Cloud  Experience with MLOps practices, Docker/containerization, and CI/CD pipelines.  Ability to deploy, monitor, and scale AI models in production and design cloud-based AI architectures.  Domain &
- Professional Skills  Exposure to healthcare, licensing, or insurance domain systems.  Ability to prepare technical documentation, architecture diagrams, and solution designs.  Ability to work under structured project environments (similar to government/RFP frameworks).  Solid problem-solving and analytical thinking.  Ability to clearly explain technical/AI concepts to non-technical stakeholders.  Effective communication, documentation skills, and a team-oriented mindset.  Willingness to support production systems, critical deployments, and provide operational support when required.

Note: This is an onsite requirement in Bahrain, Only candidates with minimum 5+ years relevant experience and willing to relocate must share their CVs to :

[email protected]

Pay: ₹200,000.00 - ₹250,000.00 per month

Work Location: In person

📌 Software Engineer (Hyderabad)
🏢 Global IT Services HUB
📍 Hyderabad