Senior Data Engineer (GenAI & LLM Infrastructure)

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.

What You’ll Do

Working at a startup like Proscia means wearing many hats. In this role, you will focus on:

• 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.

What We’re Seeking

We’re looking for people who are smart, nice, and get stuff done. Proscia thrives on entrepreneurial thinkers who excel in fast-paced, challenging environments.

We’re looking for someone with:

• 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.

Education / Bonus

• 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)

Beyond Just Work

At Proscia, we want our people to thrive inside and outside the office. Along with competitive pay, we provide comprehensive benefits, flexible schedules, and insurance options to promote long-term health and personal growth.

Our creative, collaborative office environment in Philadelphia is designed for agility, complete with writable walls and breakout spaces. Remote teammates stay connected through innovative collaboration tools and regular opportunities for in-person interaction.

We celebrate diversity and foster a culture where everyone belongs. Proscia is proud to be an equal-opportunity workplace.