Senior Data Engineer (GenAI & LLM Infrastructure)

Proscia • Philadelphia, PA

7h • Hybrid

About The Position

This position is on-site 2-3 days in Philadelphia About Proscia Pathology is at the center of medicine and is undergoing a profound transformation as the final frontier of digitization in healthcare. We started Proscia to accelerate pathology’s transition from microscope to images, and to use AI to change the way we think about cancer. We can’t change medicine alone. That’s why we’re looking for curious thinkers. Big dreamers. Developers, evangelists, pathologists, and scientists. Exceptional talent to help us use AI for good and advance humankind. At Proscia, we push the limits of medicine and technology, solving problems the world has never solved before. We build software used by thousands of scientists and pathologists, who work on the front lines of fighting cancer for patients globally. To accelerate our vision, Proscia has raised over $100M in capital from world-class healthcare and technology investors. About this Position As a Senior Engineer, you will contribute to Proscia’s growing Real World Data (RWD) business, which operates as a “startup within a startup.” In this entrepreneurial environment, you will help build and scale data + AI systems that drive better outcomes for cancer patients and support cutting-edge research into therapies and drug regimens. Success in this role requires independence, adaptability, and close collaboration with cross-functional teams—bringing a “build the plane while flying it” mindset while staying aligned with broader engineering initiatives.

Requirements

• Strong experience building production systems in Python.
• Demonstrated experience delivering GenAI/LLM solutions into production (beyond experimentation), such as structured extraction pipelines, retrieval/embedding-based systems, or LLM-powered analytics workflows.
• 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).
• Experience building systems where outputs are testable, traceable, and reproducible (evidence references, versioning, run logs).
• A pragmatic approach to reliability—handling ambiguity, conflicts, and change without breaking downstream analytics.
• 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).
• Comfort selecting and integrating the right tools to build, evaluate, deploy, and operate LLM workflows in production (we’re tooling-agnostic and prioritize end-to-end delivery over specific frameworks).
• The ability to work independently, move quickly, and collaborate effectively across teams.

Nice To Haves

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (Master’s preferred).
• Experience in life sciences/biopharma is a plus (domain experience is helpful, but not required)

Responsibilities

• 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) so results can be explained and debugged.
• 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.

Benefits

• Along with competitive pay, we provide comprehensive benefits, flexible schedules, and insurance options to promote long-term health and personal growth.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level