Senior Data Engineer – GenAI, LLM Infrastructure

Proscia

full-time

Posted on: 2/15/2026

Location Type: Hybrid

Location: Philadelphia • Pennsylvania • United States

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About the role

Build and deploy LLM-enabled data products/workflows that turn structured + unstructured inputs into curated, research-ready outputs.
Develop and refine data pipelines and warehouse layers (raw → curated → marts) to support both analytics and AI workflows.
Implement LLMOps/MLOps foundations: evaluation, versioning, monitoring/observability, and safe release processes for model/prompt changes.
Deliver traceable and reproducible outputs (evidence references, run metadata, input/version tracking).
Identify and implement process improvements—automation, reliability controls, and quality checks—to accelerate delivery and reduce manual effort.
Collaborate with core engineering, AI, and RWD stakeholders to align technical strategy and integrate solutions into the broader Proscia platform.

Strong experience building production systems in Python.
Demonstrated experience delivering GenAI/LLM solutions into production (beyond experimentation)
Experience owning the LLM lifecycle in production: prompt/model versioning, evaluation/regression testing, monitoring, and controlled releases.
Experience shipping an LLM-enabled workflow end-to-end (design → build → deploy → operate).
Solid fundamentals in SQL, data modeling, and data warehouse patterns.
Experience with Snowflake or similar platforms.
Software engineering practices: unit/integration testing, CI/CD, and containerization (Docker; Kubernetes).
Experience with cloud platforms (AWS preferred).

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonGenAILLM solutionsLLM lifecycleSQLdata modelingdata warehouse patternsunit testingintegration testingCI/CD

Soft Skills

collaborationprocess improvementautomationreliability controlsquality checks