AI & ML Engineer

THTC, Transport High-Tech Consultants; Al Khobar; On-site; SAR 224,000 - 300,000; Full time

Job summary

A leading technology solutions provider in Saudi Arabia is seeking a Mid-Level AI Engineer to enhance their Smart Mobility initiatives. You will oversee the development and deployment of AI-powered solutions, working on cutting-edge technologies that impact urban mobility across the GCC. The ideal candidate has 3-5 years of experience in AI/ML engineering, strong Python skills, and a proven track record in delivering projects to production. The role offers a unique opportunity to contribute to significant national projects as part of a dynamic team.

Benefits

Competitive salary

Continuous professional development

National impact projects

Qualifications

• 3-5 years of experience in AI/ML engineering or related field.
• Proven track record in delivering AI projects to production.
• Experience building AI applications or intelligent agents.

Responsibilities

• Develop and deploy AI features from requirements to execution.
• Design Agentic AI solutions with tool calling and API orchestration.
• Optimize machine learning models for various applications.
• Manage deployment and maintenance of AI systems.

Skills

Python

Machine Learning

AI Applications

Data Science

Problem Solving

SQL

RESTful APIs

Git

Education

Bachelor's degree in Computer Science or related field

Master's degree in AI/ML or related field

Tools

TensorFlow

PyTorch

MLflow

FastAPI

Docker

Job description

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 TomTom'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.

ROLE OVERVIEW

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 LangGraph, LangChain, or similar frameworks to build stateful, multi-agent AI systems
• Make independent technical decisions within established architectural guidelines

Production Deployment & Maintenance

• 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

MLOps & Infrastructure

• 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

REQUIRED QUALIFICATIONS

Education

• 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

Experience

• 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

Technical Skills

Programming & Development:

• 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 understanding of supervised and unsupervised learning algorithms
• Hands‑on experience with ML frameworks (TensorFlow, PyTorch, or scikit‑learn)
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques
• Understanding of deep learning concepts and neural network architectures
• Experience with time‑series analysis and forecasting techniques

Agentic AI & LLMs:

• Practical experience building LLM applications or conversational AI systems
• Familiarity with LangGraph, LangChain, or similar agent orchestration frameworks
• Understanding of prompt engineering, tool calling, and agent orchestration concepts
• Experience with OpenAI API, Anthropic Claude API, or open‑source LLMs
• Knowledge of RAG (Retrieval‑Augmented Generation) architectures

Data & Infrastructure:

• Proficiency with SQL and experience with databases (PostgreSQL, MySQL, or similar)
• Familiarity with NoSQL databases (MongoDB, Redis)
• Basic understanding of cloud platforms (AWS, Azure, or GCP)
• Experience with Docker containerization

MLOps & Tools:

• Experience with experiment tracking tools (MLflow, Weights & Biases, or similar)
• Familiarity with model serving frameworks (FastAPI, Flask, TensorFlow Serving)
• Understanding of CI/CD concepts for ML applications
• Basic knowledge of monitoring and logging practices for production systems

Professional Skills

• Strong problem‑solving and analytical thinking abilities
• Excellent communication skills with ability to explain technical concepts clearly to diverse audiences
• Self‑motivated with ability to work independently and manage multiple priorities
• Collaborative mindset and comfort working with cross‑functional teams
• Attention to detail and commitment to delivering high‑quality, production‑ready code
• Eagerness to learn new technologies and adapt to changing requirements
• Proficiency in English; Arabic is essential

PREFERRED QUALIFICATIONS

• Experience with traffic data analysis, ITS (Intelligent Transportation Systems), or mobility solutions
• Knowledge of geospatial analytics, mapping technologies, or GIS systems
• Familiarity with computer vision techniques (CNNs, object detection, video analysis)
• Experience with graph neural networks or spatial‑temporal modeling
• Understanding of Kubernetes or container orchestration platforms
• Contributions to open‑source AI/ML projects
• Previous work with government or enterprise B2B/B2G clients
• Natural language processing (NLP) experience beyond LLM applications

WHAT MAKES THIS OPPORTUNITY UNIQUE

• National Impact: Contribute to projects that shape Saudi Arabia's digital infrastructure
• Cutting‑Edge Technology: Work with advanced mapping, AI, and mobility technologies
• Innovation Culture: Join a team that values precision, security, and continuous innovation
• Growth Path: Work alongside experts on high‑visibility government and enterprise projects
• Vision 2030 Alignment: Be part of the region's digital transformation journey

HOW TO APPLY

• Updated CV/Resume highlighting relevant experience and achievements
• Portfolio or GitHub profile showcasing your AI/ML work (required)

Smart Mobility & AI | Smart Cities | Geospatial & Maps