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