senior AI Engineer

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