13 AI Engineer jobs in Oman

We are building AI-native applications that transform messy, real-world data into actionable intelligence. This is a builder's role, you'll work on cutting-edge AI agents, LLM-based systems, and mission-critical applications that directly impact industries like energy, defense, finance, and sovereign data infrastructure.

We need someone who ships fast, learns faster, and thrives with minimal supervision.

• End-to-End AI Systems: Design and deploy AI solutions from prototype to production.
• AI Agents: Build multi-capable agents using state-of-the-art models (GPT-4.1/O3/O4, Claude Opus 4, Gemini).
• RAG Pipelines: Develop advanced Retrieval-Augmented Generation and semantic search workflows.
• LLM Tuning: Fine-tune and deploy open-source LLMs for specialized use cases.
• AI-Native Applications: Build integrations with modern AI developer tools (Cursor, Cline, Claude Code).
• Data Ops: Handle messy real-world data, ETL pipelines, embeddings, and retrieval systems.
• System Reliability: Optimize performance, ensure resilience, and deploy scalable AI-native infrastructure.

• 3 –8 years of proven experience in AI Applications / Systems Engineering / Data Infrastructure.
• Hands-on experience with LangChain, LangGraph, LlamaIndex or equivalent frameworks.
• Expertise with vector databases, embeddings, and semantic search.
• Experience managing real-world messy datasets and ETL workflows.
• Familiarity with Kubernetes, containerization, and cloud/on-prem deployment.
• Excellent communication skills (written & verbal).

Nice to Have

• Experience in multi-agent systems.
• Some background in risk analysis, defense systems, or energy infrastructure.
• Familiarity with AI observability, monitoring, and evaluation frameworks.

About Us

PhazeRo stands at the forefront of AI innovation, dedicated to bridging the gap between advanced technology and business solutions. We work across various sectors, such as Energy, Finance, and BioAI, to empower our clients with intelligent automation and data-driven insights. Our team is made up of visionary thinkers and expert engineers who are passionate about making a significant impact in the AI landscape.

Job Overview

We are seeking an experienced AI Engineer to join our dynamic team. In this role, you will design, implement, and maintain AI systems and applications that enhance our product offerings. You will be responsible for developing sophisticated algorithms, conducting research on state-of-the-art AI methodologies, and implementing solutions that drive efficiency and effectiveness within the business. Working with a collaborative team, you will play a key role in shaping the future of AI at PhazeRo.

Key Responsibilities

• Architect and develop AI models and solutions that align with client requirements and business goals.
• Collaborate with data scientists and software engineers to integrate AI capabilities into existing products.
• Conduct experiments and prototype new algorithms to push the boundaries of our AI offerings.
• Monitor and evaluate AI model performance, implementing improvements based on feedback and data analysis.
• Stay up-to-date with the latest developments in AI and machine learning technologies.
• Document methodologies and communicate findings effectively to both technical and non-technical stakeholders.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
• 3+ years of experience in AI/Machine Learning engineering or a similar role.
• Proficient in programming languages such as Python or Java, with expertise in AI frameworks (e.g., TensorFlow, Keras, PyTorch).
• Strong understanding of deep learning, natural language processing, and computer vision techniques.
• Experience with cloud platforms (e.g., AWS, Google Cloud) and their AI services.
• Ability to work with large datasets and familiarity with data preprocessing techniques.
• Strong analytical and critical thinking skills, with a problem-solving mindset.
• Excellent interpersonal and communication skills to collaborate effectively with team members and clients.
• Passion for AI and a commitment to continuous learning and professional development.

Benefits

• An honest, entrepreneurial, collaborative, high performance culture.
• Infinite opportunities to learn from industry veterans.
• Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub.
• A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure.

Job Summary

We are seeking an AI Engineer with expertise in Natural Language Processing (NLP) and experience in fine-tuning Large Language Models (LLMs). The ideal candidate will have a strong background in Python programming and a minimum of 2 years of experience working with LLMs. This role involves hands-on development of 5-10 business use cases that enhance user experiences and drive business efficiency.

Responsibilities

• Develop and fine-tune Large Language Models (LLMs) to improve performance in NLP tasks.
• Design and implement NLP solutions to address specific business needs.
• Collaborate with cross-functional teams to identify and prioritize business use cases for NLP applications.
• Create and deploy machine learning models to streamline routine business operations and deliver value to users.
• Stay up-to-date with industry trends and advancements in NLP and LLM technologies.

Requirements

• Proficiency in Python programming.
• Experience in fine-tuning Large Language Models (LLMs).
• Hands-on experience in developing 5-10 business use cases that deliver measurable value.
• Strong understanding of Natural Language Processing (NLP) principles and techniques.
• Ability to work independently and collaboratively as part of a team.
• Excellent communication and problem-solving skills.

Experience

• Minimum of 2 years of experience in Python programming and working with LLMs.
• Demonstrated experience in developing practical NLP solutions for business use cases.

Education

• Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• Additional certifications in AI, NLP, or related fields are a plus.

Language

• Fluent in English / Arabic Speaker (prefer Omani National)

The Role

We are seeking an experienced Al/ML Engineer with strong expertise in deploying and maintaining machine-learning services at scale. The ideal candidate will be responsible for running and enhancing our GPU-powered Al infrastructure, ensuring high performance as user demand grows, and integrating new models and pipelines. This is an urgent requirement — candidates must be ready to join within 15 days. Responsibilities
•Deploy, monitor and maintain production AI/ML services on GPU servers (RunPod).
•Scale GPU infrastructure and load-balancing to meet growing user demand; implement autoscaling and cost controls.
•Optimize inference speed and reliability through batching, quantization, caching and other performance techniques.
•Integrate AI models into existing services as required.
•Enhance our current AI model.
•Build and maintain asynchronous processing and queue systems (Celery/Redis or equivalent).
•Implement safety filters and other guardrails around model outputs.
•Ensure zero-touch operations: automatic startup, model pre-loading, health checks, alerts and automated restarts.
•Expose clean API endpoints and work closely with backend developer for seamless integration with the main application.
•Maintain dashboards for GPU usage, latency, error rates and alerting.
•Document all infrastructure, deployment processes and enhancements clearly for handover and future scaling.

Requirements

Requirements
•2+ years of experience deploying machine-learning models into production environments.
•Strong Python skills and experience with PyTorch/TensorFlow or similar frameworks.
•Proven experience with GPU-based inference, performance tuning and cost optimisation.
•Familiarity with containerisation (Docker) and orchestration (Kubernetes or similar).
•Knowledge of queueing systems and asynchronous processing (Celery/Redis, RabbitMQ, etc.).
•Experience integrating multiple model types into APIs is a plus.
•Proficiency with cloud platforms or specialised GPU providers (RunPod, Lambda, AWS, GCP, Azure).
•Understanding of monitoring and observability tools (Prometheus, Grafana, ELK, etc.).
•Version control (Git/GitHub) and CI/CD familiarity.
•Ability to work independently and take full responsibility of the AI/ML infrastructure in production.

About the company

Hike Tech LLC is an Oman-based technology company dedicated to the creation and management of innovative digital platforms. We are dedicated to building, launching and managing high-quality digital products for users worldwide.

Freelance AI Solutions Engineer - Generative AI & Data Workflows

Mindrift is looking for passionate freelance contributors to join the Tendem project and help shape the future of hybrid agents — where human expertise and Vibe Coding work together seamlessly.

As a Vibe Coding Expert, you'll partner with systems that take on repetitive tasks, while you provide the nuance, judgment, and creativity needed to deliver outstanding results. Your day-to-day work may range from tackling complex challenges across different domains with the support of automation, to producing well-reasoned, precise, and clearly written outputs backed by credible sources.

This flexible, part-time remote opportunity is ideal for professionals with technical expertise and hands-on experience in scripting, automation, or AI-driven tools. Your contributions will directly influence how Vibe Coding systems evolve, learn, and empower industries worldwide.

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

This is a freelance role for a project, and your typical tasks may include:

• Deliver well-reasoned, accurate, and clearly written outputs backed by credible sources.
• Solve complex tasks in different domains with the help of automations.
• Develop and submit precise answers based on complex prompts, including coding, automation, and data processing tasks.
• Write and optimize Python scripts for data analysis, automation, and verification.
• Work with large datasets efficiently, ensuring data is clean and well-structured.
• Utilize various LLMs to generate advanced prompts and improve AI output quality.
• Format outputs in required structures such as Markdown, JSON, tables, etc.
• Identify and troubleshoot non-trivial technical problems related to AI workflows and integrations.

• You have a Master's Degree or Bachelor's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is preferred.
• You have a minimum of 1 year of professional experience in AI automation, data engineering, or software development is desirable.
• Level of English is upper-intermediate (B2) or above.
• You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.
• Our freelance role is fully remote, so you just need a laptop, internet connection, time available, and enthusiasm to take on a challenge.

Why this freelance opportunity might be a great fit for you?

• Get paid for your expertise, with rates that can go up to $15/hour depending on your skills, experience, and project needs.
• Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
• Work on advanced AI projects and gain valuable experience that enhances your portfolio.
• Influence how future AI models understand and communicate in your field of expertise.

Overview

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

• Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
• Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, tracing
• Work with both Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers
• Debug issues and interact in public with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding good solutions

• Professional or academic software delivery using Python
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation
• Result-oriented, with a personal drive to meet commitments
• Ability to travel twice a year, for company events up to two weeks long

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

• Hands-on experience with machine learning libraries, or tools
• Proven track record of building highly automated machine learning solutions for the cloud
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on an open source project

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Overview

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in public cloud, data science, AI, engineering innovation and IoT. Our customers include world-leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache Superset, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

• Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
• Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, tracing
• Work with both Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers
• Debug issues and interact in public with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding good solutions

• Professional or academic software delivery using Python
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation
• Result-oriented, with a personal drive to meet commitments
• Ability to travel twice a year, for company events up to two weeks long

• Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud
• Hands-on experience with machine learning libraries, or tools
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on an open source project

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

• Develop scalable machine learning models and algorithms to solve specific business problems
• Work collaboratively with cross-functional teams to gather requirements and identify opportunities for machine learning applications
• Implement and optimize model deployment pipelines for production environments
• Evaluate model performance and iterate on designs to enhance accuracy and efficiency
• Research and stay current with the latest advancements in machine learning and artificial intelligence
• Document processes and communicate results effectively to stakeholders
  
  

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• 2+ years of experience in machine learning, data science, or related roles
• Strong proficiency in programming languages such as Python or Java, with deep familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Solid understanding of data pipelines, ETL processes, and big data technologies (e.g., Spark, Hadoop)
• Experience in model evaluation metrics and techniques for model validation
• Strong problem-solving skills and the ability to work independently
• Excellent communication skills and a collaborative approach to work
• Passion for machine learning and eagerness to stay updated with industry trends
  
  

• An honest, entrepreneurial, collaborative, high performance culture
• Infinite opportunities to learn from industry veterans.
• Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub
• A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure