AI & ML Engineer; Mid-Level
Listed on 2026-02-14
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Software Development
AI Engineer, Machine Learning/ ML Engineer
ABOUT THTC
THTC is a Saudi-based technology leader established in 1999, with over two decades of expertise in delivering mission-critical solutions across Smart Mobility & AI, Smart Cities, and Geospatial & Mapping technologies. As an ISO 9001:2015 certified company and Tom Tom's strategic partner in the Middle East, we combine local expertise with global capabilities to serve government entities and enterprise clients throughout Saudi Arabia, the UAE, and the broader GCC region.
ROLEOVERVIEW
We are seeking a skilled Mid-Level AI Engineer to join our growing AI team and take ownership of developing, deploying, and maintaining AI-powered solutions that enhance THTC's value proposition.
You will be responsible for end-to-end implementation of AI features—from data preprocessing and model development to production deployment and monitoring. Your work will span both Agentic AI systems (LLM-based intelligent agents with tool calling and orchestration) and traditional machine learning (predictive models, anomaly detection, pattern recognition), directly impacting traffic monitoring and urban mobility solutions used across the GCC region.
KEY RESPONSIBILITIES AI Solution Development & Ownership- Own the development of AI features from requirements gathering to production deployment
- Design and implement Agentic AI solutions with tool calling, API orchestration, and multi-step reasoning workflows
- Build and optimize machine learning models for prediction, anomaly detection, computer vision, and pattern recognition
- Develop conversational AI interfaces and natural language understanding components
- Work with Lang Graph, Lang Chain, or similar frameworks to build stateful, multi-agent AI systems
- Make independent technical decisions within established architectural guidelines
- Deploy AI models and agents to production environments with proper monitoring and alerting
- Implement API endpoints for model serving using FastAPI, Flask, or similar frameworks
- Set up logging, monitoring, and observability for AI systems in production
- Troubleshoot and resolve production issues related to AI components
- Optimize inference latency, resource utilization, and cost efficiency
- Maintain and continuously improve existing AI solutions based on performance metrics and user feedback
- Build and maintain ML pipelines for data processing, model training, and deployment
- Implement version control for models, datasets, and experiments using Git and DVC
- Use experiment tracking tools (MLflow, Weights & Biases) to document and compare model iterations
- Work with cloud platforms (AWS, Azure, or GCP) to build scalable ML infrastructure
- Contribute to CI/CD pipelines for automated testing and deployment of AI models
- Collaborate with Product Management to understand requirements and translate them into technical solutions
- Work with Business Development on technical feasibility assessments for client proposals and tenders
- Partner with Data Engineers to ensure robust, reliable data pipelines
- Participate in code reviews and provide constructive feedback to team members
- Document technical designs, APIs, model architectures, and implementation details
- Present AI solutions and results to technical and non-technical stakeholders
- Bachelor's degree in Computer Science, Software Engineering, Data Science, AI/ML, or related field
- Master's degree in AI/ML or related field is a plus
- Relevant AI/ML certifications are beneficial
- 3-5 years of professional experience in AI/ML engineering, data science, or software engineering with AI focus
- Proven track record of delivering AI/ML projects to production environments
- Experience building AI applications, intelligent agents, or chatbot systems
- Portfolio of AI/ML projects demonstrating technical capability and business impact
- Strong proficiency in Python (required)
- Solid software engineering fundamentals and clean coding practices
- Experience with RESTful APIs and web service integration
- Version control with Git and collaborative development workflows
- Familiarity with testing frameworks and code quality tools
- Strong…
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