AI Engineer - Big Entities

taraki-search; Lahore; On-site; PKR 250,000 - 400,000; Full time

Job summary

Big Entities in Lahore seeks an AI Engineer to design an AI-driven migration pipeline, converting legacy components into modern code with automated checks. You will craft structured prompts, integrate LangChain/Azure OpenAI, and build end-to-end workflows with CI/CD-style automation.

You will collaborate with a Fullstack Developer to ensure generated outputs align with review queues and accelerate the legacy migration by reducing manual effort.

Qualifications

• Hands-on experience with LLM APIs (OpenAI, Claude, Azure OpenAI)
• Production-level prompt engineering for reusable prompts
• Experience with AI agent frameworks (LangChain, AutoGen, CrewAI)
• Python proficiency for AI tooling and Azure/AI Foundry
• Ability to build end-to-end automated workflows, not just chatbots

Responsibilities

• Design and build the AI migration pipeline from ingestion to delivered code for review
• Write and maintain the prompt template library for converting legacy components
• Configure AI coding tools (Cursor, GitHub Copilot, Claude) into daily workflow
• Create automated quality checks with AI-generated tests before output to developers
• Connect the pipeline to version control (auto-branches, PRs, AI summaries)
• Monitor output quality and refine prompts as migration progresses
• Collaborate with the Fullstack Developer to align outputs with review queues

Skills

LLM APIs

Prompt engineering

AI agent frameworks

Python

End-to-end pipelines

Tools

LangChain

AutoGen

CrewAI

Azure OpenAI

Job description

Our clientBig Entitiesis looking forAI EngineerinLahore.

Job Description

About the Role

• We are migrating a large legacy reporting system to a modern web application. The development team already has a Fullstack Developer in place. We now need an AI Engineer to build and manage the AI-powered automation layer that speeds up the migration.
• This person will design the pipeline that takes old system components, analyses them using AI, generates modern code, runs automated checks, and delivers the output to the developer for review. The goal is to reduce manual migration effort by 70–85% on routine components.

What You Will Do

• Design and build the AI migration pipeline — from ingesting old system components to delivering generated code for review
• Write and maintain the prompt template library used to convert legacy components into modern code
• Configure and connect AI coding tools — Cursor, GitHub Copilot, Claude — into the team's daily workflow
• Build the automated quality check layer — AI-generated tests that run before any output reaches the developer
• Connect the pipeline to the version control system — auto-create branches, pull requests, and AI-written summaries
• Monitor output quality and improve prompts as the migration progresses
• Work closely with the Fullstack Developer — your output feeds their review queue

Must Have

• Hands-on experience with LLM APIs — OpenAI, Anthropic Claude, or Azure OpenAI — not just using ChatGPT
• Prompt engineering experience at a production level — building structured, reusable prompts for consistent output
• Experience with AI agent frameworks — LangChain, AutoGen, CrewAI, or similar
• Python proficiency — most AI tooling is Python-first Azure AI services — Azure OpenAI, AI Foundry, or equivalent
• Ability to build automated workflows — not just chatbots — end-to-end pipelines

Good to Have

• Familiarity with .NET or Angular — enough to judge whether AI-generated code looks correct
• Experience with RAG (Retrieval Augmented Generation) — for building a migration knowledge base
• Azure DevOps experience — pipelines, pull requests, build automation
• Experience analysing or parsing source code programmatically Previous work on a legacy system migration project