AI Engineer

Role SummaryWe are looking for a skilled AI Engineer to design, build, and deploy intelligent solutions using Large Language Models (LLMs), Natural Language Processing (NLP), and Computer Vision (CV). This role involves developing practical AI applications such as conversational agents, document analysis systems, image processing tools, and automation solutions. The ideal candidate is hands-on, product-driven, and enthusiastic about leveraging AI to solve real-world business challenges at scale.Key ResponsibilitiesModel DevelopmentDesign, build, and optimize AI models across multiple domains, including:NLP (text understanding, chatbots, document processing)LLM-driven applications (RAG, agents)Computer Vision (object detection, OCR, video analytics)Fine-tune and customize pre-trained models for specific domain requirementsExplore and evaluate new architectures and techniques to enhance model performanceData ManagementGather, preprocess, and curate datasets for NLP and Computer Vision projectsApply data augmentation strategies for text and image dataMaintain high data quality and relevance to support effective model training and evaluationDeployment & IntegrationDeploy and integrate AI models into production environmentsMonitor model performance and implement continuous improvement strategiesOptimize deployment pipelines for efficiency and scalabilityMonitoring & OptimizationMonitor model performance and identify areas for improvementImplement monitoring and alerting systems to detect performance issuesOptimize model inference pipelines for latency and cost efficiencyCollaborationPartner with product, engineering, and business teams to deliver AI-powered solutionsContribute to system design and architectural decisionsPromote knowledge sharing and best practices within the teamContinuous InnovationKeep abreast of the latest developments in LLMs, NLP, and Computer VisionAssess, adopt, and integrate new tools, frameworks, and methodologies to drive innovationRequirementsBachelor's degree in Computer Science, AI, Machine Learning, or a related field, or equivalent practical experienceAt least 2 years of experience in AI/ML engineering, with a focus on NLP, LLMs, or Computer VisionProven hands-on experience designing, building, and deploying real-world AI systemsExperience with multimodal AI (text and image)Familiarity with vector databases such as FAISS, Milvus, or PineconeExperience with real-time inference systemsBasic understanding of Docker and KubernetesTechnical SkillsCore SkillsProficient in Python with experience in deep learning frameworks (PyTorch, TensorFlow)Strong understanding of machine learning, deep learning, neural networks, and model optimizationAI / LLM / NLPHands-on experience with LLMs (GPT, LLaMA, Mistral), prompt engineering, fine-tuning, and RAG pipelinesFamiliar with Hugging Face Transformers, LangChain, LlamaIndex; optional experience with spaCy/NLTKComputer VisionExperience with image processing, CV models, and libraries such as OpenCV and torchvisionFamiliar with object detection, classification, OCR, and segmentation tasksDeployment & MLOpsSkilled in model serving with FastAPI, NVIDIA Triton, or similar frameworksExperience with monitoring/observability tools (Grafana, Prometheus)Knowledge of deploying AI models on cloud platforms (AWS, GCP, Azure)What We OfferCompetitive Compensation: Enjoy a salary package tailored to your skills and experience, along with performance-based bonusesComprehensive Benefits: Visa processing and UAE mandated benefitsWork-Life Balance: Generous holidays and bonus policiesTop-Tier Equipment: Stay productive with the latest tools, including a MacBook and iPhoneCollaborative Culture: Immerse yourself in a dynamic, inclusive work environment that fosters growthEmployee Support: Bi-Annual travel/home visit reimbursements