AI Engineer

Location: Pakistan (Remote)

Company: Swibit

Employment Type: Full-time

Reports To: Engineering Manager, AI

About Swibit

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 real estate, marketplaces, 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.

Swibit's Pakistan hub is a core part of our engineering team, working alongside colleagues in Iraq and the UK on production AI systems that serve clients across the MENA region.

Role Overview

We are looking for an AI Engineer to join our Pakistan hub. You will build, fine-tune, and deploy AI/ML models and intelligent systems that power Swibit's products — from Arabic NLP and document intelligence to recommendation engines, computer vision, and agentic AI workflows.

You will work as an integrated member of Swibit's AI team, collaborating daily with engineers in Iraq and the UK. This is a production-focused role — you will build systems that ship to real users.

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

• Develop document intelligence systems — OCR, document parsing, information extraction

• 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 FastAPI and containerised services

• Integrate AI capabilities into Swibit's backend services and client platforms

• 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

Collaboration & Research

• Collaborate with Backend Engineers to integrate AI into product workflows

• Work with Product Owners and Business Analysts to translate business problems into AI solutions

• 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 Academy graduates

Requirements

Essential

• Based in Pakistan

• 2–4 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 PyTorch or TensorFlow

• Experience with NLP — particularly transformer-based models (BERT, GPT, T5 family)

• Experience building applications with LLMs — OpenAI API, Hugging Face, or open-source models

• Familiarity with LangChain, LlamaIndex, or similar LLM orchestration frameworks

• Understanding of ML fundamentals — training, evaluation, overfitting, feature engineering

• Experience deploying models as APIs (FastAPI, 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 (AraBERT, Jais, ALLaM)

• Experience with RAG (Retrieval-Augmented Generation) pipelines and vector databases (Pinecone, Weaviate, Qdrant)

• Familiarity with computer vision (YOLO, ResNet, OpenCV)

• Experience with MLOps — experiment tracking (MLflow, W&B), model versioning, CI/CD for ML

• Knowledge of data engineering tools (Pandas, Spark, Airflow)

• Experience with cloud ML services (AWS SageMaker, Bedrock)

• Understanding of on-premises model deployment and sovereignty constraints

• Experience with OCR and document intelligence (Tesseract, Azure Document Intelligence, PaddleOCR)

• Previous experience working with distributed / remote teams across time zones

Tech Stack You'll Work With

What You'll Gain

• Build AI systems that solve real-world problems for users across Iraq and MENA

• Work at the centre of an AI-first company — not in a sidelined R&D lab

• Tackle Arabic NLP challenges that few companies in the region are working on at this level

• Collaborate with an international team including AI advisors with Google DeepMind and IBM Watson backgrounds

• Clear career growth path within Swibit's AI team (Engineer → Senior → AI Lead)

• Structured mentorship and access to the Swibit Academy learning programmes

• Flexible remote working within Pakistan

• Competitive compensation with performance-based incentives

How to Apply

Send your CV, a link to your GitHub or portfolio, and any published papers or projects to [email protected] with the subject line: AI Engineer (Pakistan)