Ai engineer

Swibit is an AI solutions company operating in the MENA region, the UK, and the US. We specialise in delivering high-end consulting and building scalable digital platforms, AI-powered products, and strategic solutions across sectors such as government, public safety, real estate, logistics, education, and public services. Our model is global design and local execution — combining international expertise with deep local market understanding to deliver impactful, future-ready solutions aligned with national digital transformation visions. Swibit is actively expanding in Oman, working on strategic engagements with government and enterprise clients in areas including AI consultancy, digital transformation, and technology modernisation. Role Overview We are looking for an AI Engineer based in Oman to build, fine-tune, and deploy AI/ML models and intelligent systems for Swibit's client engagements in the Omani market. You will work on production AI systems — from Arabic NLP and document intelligence to recommendation engines, agentic AI workflows, and LLM-powered applications — serving government and enterprise clients. This is a client-facing technical role. You will work on-site in Oman, collaborating closely with Solution Architects, Business Analysts, and Project Managers on delivery, while working day-to-day with Swibit's AI team across Iraq and Pakistan on engineering execution. Key Responsibilities AI/ML Development Build, train, fine-tune, and evaluate machine learning models for production use Develop NLP solutions with a focus on Arabic language — text classification, NER, summarisation, sentiment analysis Build and maintain LLM-powered applications — RAG pipelines, agentic workflows, prompt engineering Implement recommendation systems, search, and ranking algorithms Work with computer vision models where required (object detection, image classification)Production & Integration Deploy models as production-grade APIs using Fast API and containerised services Integrate AI capabilities into client platforms and Swibit's backend services Optimise model performance — latency, throughput, cost, and accuracy trade-offs Build evaluation pipelines and monitoring for model performance in production Manage data pipelines for training, validation, and inference Ensure AI systems respect data sovereignty and client privacy requirements — critical for Omani government engagements Client & Delivery Support Support Solution Architects in designing AI components of client solutions Participate in client workshops and technical discussions alongside the delivery team Translate client business problems into AI/ML solutions Support pre-sales with AI feasibility assessments and proof-of-concept development Collaborate with Backend Engineers to integrate AI into product workflows Stay current with the AI/ML landscape — new models, techniques, and tools Contribute to Swibit's AI Collective — internal knowledge sharing and best practices Participate in sprint planning, daily standups, and retrospectives Mentor junior engineers and support knowledge transfer to client teams Requirements Based in Oman or willing to relocate to Muscat2–4 years of professional experience in AI/ML engineering (not just academic/research)Strong proficiency in Python — production-grade, clean, well-structured code Hands‑on experience with Py Torch or Tensor Flow Experience with NLP — particularly transformer‑based models (BERT, GPT, T5 family)Experience building applications with LLMs — Open AI API, Hugging Face, or open‑source models Familiarity with Lang Chain, Llama Index, or similar LLM orchestration frameworks Understanding of ML fundamentals — training, evaluation, overfitting, feature engineering Experience deploying models as APIs (Fast API, Flask)Comfortable with Git, pull requests, and collaborative development workflows Strong problem‑solving skills and analytical thinking Fluency in English (spoken and written)Preferred Experience with Arabic NLP — tokenisation, morphological analysis, Arabic‑specific models (Ara BERT, Jais, ALLa M)Experience with RAG (Retrieval‑Augmented Generation) pipelines and vector databases (Pinecone, Weaviate, Qdrant)Familiarity with computer vision (YOLO, Res Net, Open CV)Experience with MLOps — experiment tracking (MLflow, W&B), model versioning, CI/CD for MLKnowledge of data engineering tools (Pandas, Spark, Airflow)Experience with cloud ML services (AWS Sage Maker, Bedrock)Understanding of on‑premises model deployment and sovereignty constraints Experience with OCR and document intelligence (Tesseract, Azure Document Intelligence, Paddle OCR)Arabic language skills (significant advantage for client communication)Experience working on government or enterprise client engagements in the GCCPrevious experience in a consulting or IT services environment Tech Stack You'll Work With Layer Technologies Language Python 3.11+ML Frameworks Py Torch, Hugging Face Transformers LLM Tools NLPVector DBs Serving MLOps MLflow, Weights & Biases Data Cloud AWS (Sage Maker, Bedrock, EC2, S3)CI/CDGit Hub Actions What You'll Gain Build AI systems for strategic government and enterprise clients in Oman Tackle Arabic NLP challenges that few companies in the region are working on at this level Clear career growth path within Swibit's AI team (Engineer - Senior - AI Lead)Structured mentorship and access to the Swibit Academy learning programmes Competitive compensation commensurate with seniority and market

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