We’re Hiring | Full-Stack AI Engineer Experience: 4–6 Years Location: Karachi – Onsite | International Project Employment Type: Full-Time We are looking for a Full-Stack AI Engineer who can take AI solutions from model and pipeline development all the way to production deployment. The ideal candidate will have strong hands-on experience across AI/ML, LLMs, RAG, Agentic AI, MCP, multimodal AI, backend, frontend, databases, and production infrastructure. 🔹 Key Responsibilities: Develop and productionize AI/ML and LLM-based applications using Python, PyTorch, Transformers & Hugging Face Build RAG pipelines, embeddings, vector search, and LLM applications Develop Agentic AI / multi-agent workflows using LangGraph or similar frameworks Build and integrate MCP servers/clients and AI tools Develop multimodal AI solutions across computer vision, video, speech & audio Build scalable backend services using Python & Node.js Develop responsive AI-powered applications using React.js / TypeScript Work with SQL/NoSQL and vector databases Integrate AI solutions with Odoo, Salesforce, HubSpot and other enterprise platforms Optimize inference using ONNX, TensorRT, quantization and GPU optimization Deploy and manage applications using Docker, Linux, Nginx, CI/CD and cloud/on-premise infrastructure Implement secure authentication, authorization, RBAC and enterprise data protection Monitor and optimize application, model, database and infrastructure performance 🔹 Required Skills: AI/LLM: Python, PyTorch, Hugging Face, LLMs, RAG, embeddings, vector databases, Agentic AI, LangGraph, MCP Computer Vision & Speech: OpenCV, YOLO / RT-DETR, segmentation, Whisper / STT, speaker diarization Full-Stack: Python, Node.js, React.js, JavaScript/TypeScript, REST APIs, microservices, SQL/NoSQL Deployment & Optimization: Docker, Kafka, Redis, Linux, Nginx, CI/CD, CUDA/GPU, ONNX, TensorRT, vLLM, TGI, Triton ⭐ Bonus Skills Kubernetes | TensorRT-LLM | LoRA/QLoRA | PEFT | Prometheus/Grafana | Offline/Air-Gapped AI Deployment | Zero-to-Production AI Product Experience 📩 Interested candidates can share their CV at: [email protected]