Job Title: Senior Data Engineer / AI Engineer
Location: On-site 3 days Philadelphia
Role Overview:
STAFFXPERT is Looking for a Data Engineer / AI Engineer (Agentic AI Platform) to build scalable systems that convert unstructured financial data into structured high-quality datasets. This role focuses on building reliable production-grade LLM systems-not just basic integrations.
Key Responsibilities:
Build high-volume data pipelines (batch & near real-time)
Develop LLM-based extraction & processing workflows
Implement validation layers to reduce hallucinations
Design end-to-end data architecture (ingestion to serving)
Work on embeddings vector search & retrieval systems
Ensure data quality observability & system reliability
Core Skills:
Strong Python & backend/data engineering experience
Hands-on with ETL/streaming pipelines
Experience with LLMs in production (prompting validation monitoring)
Knowledge of distributed systems & failure handling
SQL NoSQL databases
Cloud experience (AWS preferred)
Nice to Have:
RAG / vector search experience
Financial domain exposure
Kafka / streaming systems
Agentic or multi-step AI workflows
Job Title: Senior Data Engineer / AI Engineer Location: On-site 3 days Philadelphia Role Overview: STAFFXPERT is Looking for a Data Engineer / AI Engineer (Agentic AI Platform) to build scalable systems that convert unstructured financial data into structured high-quality datasets. This role focu...
Job Title: Senior Data Engineer / AI Engineer
Location: On-site 3 days Philadelphia
Role Overview:
STAFFXPERT is Looking for a Data Engineer / AI Engineer (Agentic AI Platform) to build scalable systems that convert unstructured financial data into structured high-quality datasets. This role focuses on building reliable production-grade LLM systems-not just basic integrations.
Key Responsibilities:
Build high-volume data pipelines (batch & near real-time)
Develop LLM-based extraction & processing workflows
Implement validation layers to reduce hallucinations
Design end-to-end data architecture (ingestion to serving)
Work on embeddings vector search & retrieval systems
Ensure data quality observability & system reliability
Core Skills:
Strong Python & backend/data engineering experience
Hands-on with ETL/streaming pipelines
Experience with LLMs in production (prompting validation monitoring)
Knowledge of distributed systems & failure handling
SQL NoSQL databases
Cloud experience (AWS preferred)
Nice to Have:
RAG / vector search experience
Financial domain exposure
Kafka / streaming systems
Agentic or multi-step AI workflows
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