AI Engineer

Swibit · Pakistan

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

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

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

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

Layer

Technologies

Language

Python 3.11+

ML Frameworks

PyTorch, Hugging Face Transformers

LLM Tools

NLP

Vector DBs

Serving

MLOps

MLflow, Weights & Biases

Data

Cloud

AWS (SageMaker, Bedrock, EC2, S3)

CI/CD

GitHub Actions

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