Senior AI Engineer

Big Entities; Lahore; On-site; PKR 900,000 - 1,500,000; Full time

Job summary

Big Entities in Lahore (DHA Phase 3) seeks an Agentic Sales Development Representative to design and implement LLM-powered RAG systems and AI agents for enterprise insurance workflows. You will build agentic workflows using LangGraph/LangChain and integrate with vector databases, SQL, APIs, and internal apps.

You will develop production-grade GenAI applications, implement security controls, and drive continuous improvement through monitoring, evaluation, and guardrails.

Qualifications

• Strong Python and backend development experience.
• Hands-on experience with LLMs, RAG, vector databases, and AI agents.
• Experience with tool calling, function calling, and multi-agent systems.
• Knowledge of SQL/NoSQL databases and API integrations.
• Experience with cloud platforms such as Azure/AWS/GCP.
• Experience building production-grade GenAI applications.

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, and LlamaIndex.
• Build tools for agents to interact with vector databases, SQL/enterprise databases, APIs, web search, and internal applications.
• Develop multi-agent systems where agents communicate, delegate tasks, and collaborate.
• Implement document ingestion, chunking, embeddings, vector search, and hybrid search with reranking.
• Integrate and work with commercial/open-source LLMs and embedding models.
• Develop natural-language database querying / Text-to-SQL with security controls.
• Build feedback and evaluation mechanisms for continuous improvement of the AI system.
• Implement monitoring, logging, evaluation, and AI security/guardrails.
• Deploy and integrate AI services with existing enterprise applications and databases.

Skills

Python

Backend development

LLMs & RAG

Agent orchestration

SQL & API integration

Cloud platforms

Production GenAI apps

Insurance workflows familiarity

Tools

LangGraph

LangChain

LlamaIndex

Semantic Kernel

Job description

Agentic Sales Development Representative

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