Senior AI Engineer

We are seeking a skilled AI Engineer to design and develop advanced LLM-powered Retrieval-Augmented Generation (RAG) systems that leverage enterprise documents to create searchable knowledge bases. The role involves building intelligent AI agents capable of analyzing insurance and reinsurance submissions to identify next actions, missing information, and relevant documents. The ideal candidate will work with cutting-edge frameworks and tools to develop agentic workflows and multi-agent systems that enhance collaboration and task delegation among AI agents.

Key Responsibilities

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

Required Qualifications

- Strong proficiency in Python and backend development.
- Hands-on experience with LLMs, RAG systems, vector databases, and AI agents.
- Experience with frameworks such as LangGraph, LangChain, LlamaIndex, or similar.
- Expertise in tool calling, function calling, agent orchestration, and multi-agent system development.
- Strong SQL/database skills and API integration experience.
- Familiarity with PostgreSQL, SQL Server, Oracle, and vector databases.
- Experience working with cloud platforms like Azure, AWS, or GCP.
- Proven track record of building production-grade Generative AI applications rather than prototypes.

Preferred Qualifications

- Knowledge of insurance and reinsurance domains, including underwriting, submissions, and related workflows such as T&A, is highly desirable.

Additional Information

- Location: DHA Phase 3, Lahore
- Working Hours: 1 PM to 10 PM

This position offers the opportunity to work on innovative AI solutions within the insurance sector, contributing to the development of intelligent systems that streamline complex workflows and improve operational efficiency.