AI Engineer

23 hours ago
Lahore, Punjab, Pakistan Big Entities Full-time PKR 2 Contract

AI Engineer

Location: Onsite DHA Phase 3 Lahore

Timings: 1 PM – 10 PM

Experience: 2 - 4 years

About the Role

We’re building an AI-driven no-code platform that turns ideas, prompts and designs into production-ready web and mobile applications. As an AI Engineer, you’ll design and ship the intelligence behind it: the systems that understand what users want and generate working UI, backend logic and databases. You’ll also research and build alternatives to frontier model APIs, including self-hosted and on-premise LLMs.

Key Responsibilities

Engineering

  • Design and build LLM-powered pipelines that convert natural-language requirements into application code, data models and APIs.
  • Develop multi-step AI agents for planning, code generation, self-correction and automated bug fixing.
  • Build design-to-code features (Figma, XD, wireframes) using vision and multimodal models.
  • Engineer prompts, context management and retrieval (RAG) so outputs follow our component library and coding standards.
  • Create evaluation frameworks to measure generated code quality, accuracy and reliability, and improve them continuously.
  • Optimize model latency, cost and token usage across providers (OpenAI, Anthropic, open-source).
  • Work with frontend, backend and product teams to integrate AI features into the builder experience.

Research & Exploration

  • Research and evaluate alternatives to frontier model APIs, including open-source LLMs (Llama, Qwen, Mistral, DeepSeek) for code generation and reasoning tasks.
  • Design and run on-premise and private-cloud LLM deployments for data privacy, cost control and enterprise customers.
  • Benchmark self-hosted models against frontier models on accuracy, latency and cost, and recommend where each fits in the platform.
  • Explore model optimization techniques such as quantization, distillation and fine-tuning (LoRA/QLoRA) to run capable models on limited hardware.
  • Prototype hybrid routing that sends simple tasks to smaller in-house models and complex tasks to frontier models.
  • Stay current with AI research and turn promising ideas into working prototypes and internal tech notes.

Required Skills

  • Strong Python, GO and/or TypeScript skills.
  • Hands-on experience building production applications with LLM APIs.
  • Experience with agent frameworks (LangChain, LangGraph, LlamaIndex or similar) and vector databases.
  • Experience with AST parsing, code analysis or compilers.
  • Experience serving open-source LLMs with tools like vLLM or Ollama.
  • Understanding of GPU infrastructure, model memory requirements and inference scaling.
  • Experience with structured outputs, function/tool calling and code generation.
  • Familiarity with cloud deployment (AWS or Azure) and Docker.

Nice to Have

  • Fine-tuning or evaluating open-source models.
  • Prior work on no-code, low-code or developer-tool products.
  • Knowledge of MCP or tool-integration protocols.

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