AI Engineer

We are looking for an experienced AI/ML Engineer to join our team and help design, build, and scale intelligent systems that power real business solutions. You will work across LLMs, Computer Vision, Speech AI, and AI Infrastructure, embedding advanced AI into core business processes and client-facing products.

Responsibilities

• LLM Development: Build chatbots, RAG systems, and automated document processing pipelines.

• Computer Vision: Implement OCR for insurance documents, damage assessment from photos, and identity verification.

• Speech AI: Develop transcription, voice analytics, and multilingual support solutions.

• AI Infrastructure: Deploy and monitor AI models, integrate with cloud AI services.

• Product Integration: Embed AI into business workflows, create AI APIs, and design user-friendly AI-powered experiences.

Requirements

• 3+ years of experience in AI/ML engineering with a focus on production systems

• Strong Python skills (advanced) + experience with FastAPI/Flask for API development

• Hands-on experience with LLM tools: OpenAI API, LangChain, Hugging Face Transformers

• Computer Vision expertise: OpenCV, PIL, YOLO, Detectron2 (or similar)

• Deep learning frameworks: PyTorch or TensorFlow for fine-tuning models

• Cloud experience: AWS / Azure / GCP AI services

• Docker & Kubernetes for AI application containerization and orchestration

Core AI/ML Competencies

• Prompt Engineering – designing effective prompts for LLMs

• Fine-tuning – adapting pre-trained models to business tasks

• RAG (Retrieval-Augmented Generation) – working with vector DBs and embeddings

• Computer Vision Pipelines – from preprocessing to inference

• Model Optimization – quantization, pruning, ONNX for faster inference

• Multimodal AI – building solutions that combine text + images

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We offer

• Long-term service agreement contract with QIC

• We are diverse – our digital nomads work remotely from 25 different countries

• Payment in US dollars monthly to your bank account using SWIFT

• Full-time remote, work schedule: 5 days per week, Sunday to Thursday

• Vacation policy: Qatar Holiday Calendar, 20 workdays of vacation, and 10 sick days

• Performance reviews are conducted twice a year, with the possibility of a raise in March and September

• Potential opportunity to apply for a Qatar ID and relocation to Doha, Qatar