Principal Engineer - GenAI, Big Data

Overview

Role - Principal Engineer. Location - Hybrid for Islamabad; Remote for other cities.

Role Summary

Lead the design, architecture, and development of next-generation intelligent systems at the intersection of Generative AI, Big Data, and Cloud. Define technical roadmaps, build production-grade multi-agent platforms, and drive innovation across distributed systems, lakehouse architectures, and LLMOps. Operate as a hands-on technical leader and mentor without formal management responsibilities.

Key Responsibilities

• Design and deliver production-grade RAG systems with embedding refresh strategies, vector DB synchronization, and hybrid search.
• Architect and implement AI agent orchestration frameworks (ReAct, multi-agent coordination, persistent state, error recovery, observability).
• Build scalable event-driven architectures with idempotency, exactly-once / at-least-once semantics, poison message handling, and backpressure management.
• Contribute to Lakehouse data architectures (Delta Lake, Iceberg, Hudi), addressing schema evolution, compaction, and ACID transactions on object storage.
• Develop high-performance ML / LLM code for real-time pipelines, extending frameworks when required.
• Collaborate with data scientists and platform engineers to accelerate model experimentation, validation, and deployment.
• Define and implement LLMOps strategies including prompt versioning, token cost tracking, evaluation, and personalization.
• Drive architectural vision through design / code reviews, mentorship, and thought leadership.
• Innovate in Generative AI, distributed systems, and intelligent platforms from concept through delivery.

Must-Have Skills & Tools

Nice-to-Have Skills

Soft Skills / Traits

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