Senior AI Engineer - LLM/RAG & Multi-Agent Systems (Lahore)

Big Entities; Lahore; Presencial; PKR 4.200.000 - 8.400.000; Jornada completa

Descripción de la vacante

Big Entities is seeking an experienced engineer to design and implement LLM-powered RAG systems that turn enterprise documents into searchable knowledge bases. You will build AI agents to analyze submissions, identify required actions, and retrieve relevant documents.

You will develop producer-grade GenAI applications using LangGraph/LangChain/LlamaIndex, integrating vector databases, SQL/enterprise databases, and APIs, while ensuring security and governance. Lahore-based role with on-site work.

Formación

• Strong Python and backend development experience.
• Hands-on experience with LLMs, RAG, vector databases, and AI agents.
• Experience with LangGraph/LangChain/LlamaIndex or similar frameworks.
• Experience with tool calling, function calling, agent orchestration, and multi-agent systems.
• Strong SQL/database and API integration experience.
• Experience with PostgreSQL/SQL Server/Oracle and vector databases.
• Experience with cloud platforms such as Azure/AWS/GCP.
• Experience building production-grade GenAI applications.
• Knowledge of insurance/reinsurance workflows is a plus.

Responsabilidades

• Design and develop LLM-powered RAG systems using enterprise documents to build searchable knowledge bases.
• Build AI agents capable of analyzing submissions and identifying required actions, missing information, and relevant documents.
• Develop agentic workflows using LLM tool/function calling and frameworks like LangGraph, LangChain, LlamaIndex, and Semantic Kernel.

Conocimientos

Python

LLMs

RAG

Vector databases

AI agents

LangGraph

LangChain

function calling

SQL

APIs

PostgreSQL

Azure/AWS/GCP

GenAI applications

insurance domain

Herramientas

LangGraph

LangChain

LlamaIndex

Semantic Kernel

Descripción del empleo

Big Entities is seeking an experienced engineer to design and implement LLM-powered RAG systems that turn enterprise documents into searchable knowledge bases. You will build AI agents to analyze submissions, identify required actions, and retrieve relevant documents.

You will develop producer-grade GenAI applications using LangGraph/LangChain/LlamaIndex, integrating vector databases, SQL/enterprise databases, and APIs, while ensuring security and governance. Lahore-based role with on-site work.