Job Openings Fullstack AI Engineer (Onsite, Lahore, PKR Salary)

About the job Fullstack AI Engineer (Onsite, Lahore, PKR Salary)

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