AI Integration Developer

PRESICION SOLUTION LAND SURVEY ENGINEERING CONSULT ancy; Manama; On-site; BHD 12,000 - 24,000; Full time

Job summary

National Genome Project is seeking an experienced AI Integration Developer to join the team. You will design, develop, and deploy AI and ML solutions within our enterprise and healthcare systems, with a focus on Generative AI, LLMs, and RAG-based applications.

You will integrate AI services with .NET applications, work with AWS SageMaker and Bedrock, build APIs, and ensure data security and governance for sensitive genomic data.

Qualifications

• Bachelor's degree in CS/AI/ML or related field.
• Experience with AI integration in enterprise environments.
• Experience with healthcare, genomics, or government projects is a plus.

Responsibilities

• Design, develop and integrate AI/ML solutions for enterprise and healthcare apps.
• Develop Generative AI and LLM-based solutions and RAG apps.
• Integrate AI models with existing .NET applications and enterprise systems.
• Collaborate with developers, data specialists, and other teams.
• Ensure security, privacy and governance for sensitive data.

Skills

Python

C#/.NET

AI/ML

LLMs

RAG

APIs

AWS SageMaker

AWS Bedrock

Data processing

Git

Software integration

Enterprise architectures

Databases

Education

Bachelor's degree in Computer Science / AI / ML

Tools

AWS SageMaker

AWS Bedrock

Vector databases

Semantic search

Job description

Project National Genome Project

Employment Type

Full-Time

Contract

One-Year Contract Renewable

Job Summary

We are looking for an experienced AI Integration Developer AI Engineer to join the National Genome Project The successful candidate will be responsible for developing integrating and deploying Artificial Intelligence and Machine Learning solutions within enterprise systems and healthcare applications The role focuses on Generative AI Large Language Models LLMs Retrieval-Augmented Generation RAG Machine Learning and integrating AI services with enterprise applications and NET-based systems

Key Responsibilities

• Design develop and integrate AI and Machine Learning solutions for enterprise and healthcare applications
• Develop and implement Generative AI and LLM-based solutions
• Build and maintain RAG Retrieval-Augmented Generation applications and intelligent search solutions
• Integrate AI models and services with existing NET applications and enterprise systems
• Work with cloud-based AI services particularly AWS SageMaker and Amazon Bedrock
• Develop APIs and integration services for connecting AI models with enterprise applications
• Prepare process and manage data required for AI and Machine Learning applications
• Evaluate AI models and optimize their performance accuracy scalability and reliability
• Implement prompt engineering and AI workflow solutions where applicable
• Develop AI-powered automation and intelligent applications
• Collaborate with NET developers software engineers data specialists and other technical teams
• Troubleshoot AI integration issues and ensure reliable communication between AI services and enterprise systems
• Follow security privacy and governance requirements when handling sensitive healthcare and genomic data
• Prepare technical documentation and contribute to architecture and solution design
• Stay up to date with emerging AI technologies frameworks and best practices

Required Technical Skills

• Strong programming experience with Python and/or C#/.NET
• Practical experience with Artificial Intelligence and Machine Learning
• Experience with Generative AI and Large Language Models (LLMs)
• Hands-on experience developing RAG-based applications
• Experience integrating AI models and services through APIs
• Knowledge of AWS AI/ML services, particularly:Amazon SageMakerAmazon Bedrock
• Understanding of Machine Learning model development, deployment, and evaluation
• Experience with data processing and preparation for AI applications
• Understanding of software integration and enterprise application architectures
• Familiarity with databases and data retrieval technologies
• Knowledge of Git and modern software development practices

Qualifications & Experience

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related field
• Relevant professional experience in AI, Machine Learning, AI integration, or software development
• Experience developing and deploying AI solutions in enterprise environments is preferred
• Experience with healthcare, genomics, or government projects is an advantage

Preferred Skills

• Experience integrating LLMs with enterprise applications
• Experience with RAG architectures, vector databases, embeddings, and semantic search
• Experience with AI orchestration frameworks and AI agents
• Knowledge of AWS cloud architecture and deployment
• Understanding of AI security, data privacy, and responsible AI practices
• Strong analytical and problem-solving skills
• Good communication and teamwork skills