Fullstack AI Engineer (Onsite, Lahore, PKR Salary)

About the position

Requirements: 4 years of experience as a fullstack or backend engineer Strong proficiency in Python and JavaScript/TypeScript Experience with FastAPI / Django / Node.js and React / Next.js Solid understanding of distributed systems and async architectures Hands-on experience deploying LLMs such as GPT-4/4.1, Claude, LLaMA, Mistral, Mixtral Experience serving models using vLLM, Triton, TGI, or similar frameworks Strong understanding of transformer models and inference trade-offs Experience with embeddings, vector search, and RAG architectures Experience with AWS, GCP, or Azure (GPU workloads preferred) Strong Docker and Kubernetes experience Familiarity with CI/CD pipelines for ML systems Experience with observability tools (Prometheus, Grafana, OpenTelemetry) Experience with multimodal AI (audio, video, image models) Experience optimizing LLM inference costs at scale Startup or high-growth environment experience Prior work on AI-first or AI-native products Responsibilities: Deploy and optimize LLMs (open-source and commercial) for production use Implement inference optimization techniques (quantization, batching, caching, distillation) Build and maintain RAG pipelines (embeddings, vector databases, retrieval strategies) Evaluate and improve model quality (latency, accuracy, hallucination reduction, cost) Implement prompt management, versioning, and A/B testing Design and develop scalable APIs for AI-driven features Deploy and manage model-serving infrastructure (Docker, Kubernetes, GPUs) Optimize hardware utilization for inference workloads Implement monitoring, logging, and alerting for AI services Ensure security, data privacy, and compliance across AI pipelines Build internal tools and user-facing interfaces for AI workflows Integrate LLM services into web and mobile applications Work closely onsite with product managers, designers, and data teams Rapidly prototype, test, and iterate on AI-powered features

Place of work