senior AI Engineer

Big Entities; Lahore; On-site; PKR 4,200,000 - 8,400,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

LLMs

RAG

Vector databases

AI agents

LangGraph

LangChain

function calling

SQL

APIs

PostgreSQL

Azure/AWS/GCP

GenAI applications

insurance domain

Tools

LangGraph

LangChain

LlamaIndex

Semantic Kernel

Job description

Job Description:

Key Responsibilities

• Design and develop LLM-powered RAG systems using enterprise documents to build searchable knowledge bases.
• Build AI agents capable of analyzing insurance/reinsurance submissions and identifying required next actions, missing information, and relevant documents.
• Develop agentic workflows using LLM tool/function calling and frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, etc.
• Build tools for agents to interact with vector databases, SQL/enterprise databases, APIs, web search, and internal applications.
• Develop multi-agent systems where different AI agents can communicate, delegate tasks, and collaborate.
• Implement document ingestion, chunking, embeddings, vector search, hybrid search, and reranking.
• Integrate and work with commercial/open-source LLMs and embedding models.
• Develop natural-language database querying / Text-to-SQL capabilities with appropriate security and controls.
• Build feedback and evaluation mechanisms for continuous improvement/self-learning of the AI system.
• Implement monitoring, logging, evaluation, hallucination/grounding checks, and AI security/guardrails.
• Deploy and integrate AI services with existing enterprise applications and databases.

Required Skills

• 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, not just prototypes.
• Knowledge of insurance/reinsurance, underwriting, submissions, T&A, or related workflows is a strong plus.

Location: DHA Phase 3 Lahore

Timings: 1pm - 10 PM