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Al Integration Developer

Job in Manama, Bahrain
Listing for: VAM Systems Inc
Full Time position
Listed on 2026-09-25
Job specializations:
  • Software Development
    Backend Developer, AI Engineer (Applied/Software), AWS, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 20000 - 38000 BHD Yearly BHD 20000.00 38000.00 YEAR
Job Description & How to Apply Below

We are currently looking for Al Integration Developer for our Bahrain operations with the following skillsets & terms and conditions:

Experience Required
  • 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 Al / Chatbots and document processing systems.
  • Strong experience with Tensor Flow, PyTorch, Scikit-learn.
  • Experience in RESTful API development to integrate Al models with enterprise applications.
  • Experience in handling large data sets such as Healthcare and Genomics data.
  • Hands-on experience with AWS Sage Maker, AWS Next Flow, AWS Bedrock, AWS Lambda, Amazon S3, and IAМ.
  • Ability to deploy, monitor, and scale Al models in production and design cloud-based AI.
  • Familiarity with Microservices architecture, API-first design, SQL/No

    SQL, and Git.
  • Good knowledge of  technologies including ASP.NET Core, Blazor/MVC, Web APIs, and Entity Framework.
  • Familiarity to design, develop, and maintain 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.
  • Strong problem-solving and analytical thinking.
  • Ability to clearly explain technical/Al concepts to non-technical stakeholders.
  • Effective communication, documentation skills, and a team-oriented mindset.
  • Experience with MLOps practices, Docker/containerization, and CI/CD pipelines.
  • 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).
  • Willingness to support production systems, critical deployments, and provide operational support when required.

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