AI Engineer

Big Entities; Lahore; On-site; PKR 2,000,000 - 3,000,000; Full time

Job summary

Big Entities in Lahore is hiring an AI Engineer to design and ship intelligence behind a no-code platform that turns ideas and designs into production-ready web and mobile apps. You will build LLM-powered pipelines, plan code generation, and explore on-premise LLM deployments to ensure data privacy and cost control.

You will work with frontend, backend, and product teams to integrate AI features, optimize latency, and research alternative models.

Qualifications

• 2-4 years of hands-on experience building production AI-powered applications
• Strong programming skills in Python, Go and/or TypeScript
• Experience with LLM APIs and building AI-powered features
• Familiarity with LangChain/LangGraph and vector databases
• Experience with AST parsing, code analysis or compilers
• Experience deploying open-source LLMs and managing model infrastructure
• Understanding of GPU resources, memory requirements and inference scaling
• Experience with structured outputs, function/tool calling and code generation
• Familiarity with cloud deployment (AWS or Azure) and Docker

Responsibilities

• 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 and evaluate alternatives to frontier model APIs, including open-source LLMs for code generation and reasoning tasks.
• Design and run on-premise and private-cloud LLM deployments for data privacy and cost control.
• Benchmark self-hosted models against frontier models on accuracy, latency and cost.
• Explore model optimization techniques such as quantization, distillation and fine-tuning.
• Prototype hybrid routing that assigns tasks to smaller internal models and complex tasks to frontier models.
• Stay current with AI research and turn promising ideas into prototypes and internal notes.

Skills

Python/Go/TypeScript

LLM APIs

LangChain/LangGraph

Vector databases

AST parsing

Open-source LLMs

Docker

Cloud (AWS/Azure)

Tools

vLLM

Ollama

Docker

AWS

Azure

Job description

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.