Job Description
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