We are looking for a highly skilled and motivated Data Engineer to join our growing AI and data team. In this role, you will be responsible for designing, building, and maintaining large-scale data infrastructure with a strong focus on Retrieval-Augmented Generation (RAG) pipelines and Large Language Model (LLM) integration.

You will work at the intersection of data engineering and AI, turning raw, unstructured, and large-scale data into intelligent, production-ready systems that power real business outcomes. This is a hands-on technical role that requires deep experience with modern data stacks, AI frameworks, and cloud infrastructure. If you're passionate about AI, love solving complex data challenges, and want to work on cutting-edge technology, this role is for you.

Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines for large-scale structured and unstructured data
• Architect and implement end-to-end RAG pipelines — document ingestion, chunking, embedding, indexing, retrieval, and reranking
• Integrate Large Language Models (OpenAI, Anthropic, Llama, etc.) into production data workflows
• Manage and optimize vector databases (Pinecone, Weaviate, FAISS, Chroma, or similar)
• Work on prompt engineering and context optimization for domain-specific use cases
• Build and manage data infrastructure on cloud platforms (AWS, GCP, Azure)
• Monitor pipeline performance, data quality, and model output reliability
• Collaborate with ML engineers, backend developers, and product teams
• Document systems, pipelines, and architectural decisions clearly

Requirements

• 2+ years of experience as a Data Engineer or similar role
• Strong proficiency in Python and SQL
• Hands-on production-level experience with RAG architectures and LLM integration
• Experience with vector databases and embedding models
• Familiarity with RAG frameworks — LangChain, LlamaIndex, Haystack, or similar
• Experience with data orchestration tools — Airflow, Prefect, or Dagster
• Cloud platform experience — AWS, GCP, or Azure
• Knowledge of big data tools — Spark, Kafka, dbt is a plus
• Strong problem-solving skills and ability to work independently

Location: Lake City, Lahore

Timings: 5:30 PM - 2:00 AM