Senior Software Engineer – Alpha Lab

Senior Software Engineer – Alpha Lab – Softwriters

Empower LTC Pharmacies.

Save Lives.

Build the Future of Healthcare Technology.

About Softwriters

Softwriters develops innovative IT solutions that empower long‑term care (LTC) pharmacies to deliver life‑saving medications more efficiently and accurately.

As a voted top workplace in Pittsburgh, we combine meaningful work with a collaborative culture where your contributions directly impact patient care.

As a market leader in long‑term care pharmacy technology, we continue to invest in teams that explore new ideas quickly—while maintaining the rigor required in a highly regulated healthcare environment.

Our people and culture are our differentiator, and our mission is at the center of everything we build.

The Opportunity

We’re seeking a Senior Software Engineer – Alpha Lab to join our innovation-focused engineering group responsible for rapidly designing, building, and validating new product capabilities.

In this hands‑on role, you’ll experiment, prototype, and iterate on early‑stage ideas—many involving AI‑enabled workflows—while ensuring a clear, compliant path to secure, scalable production.

You’ll apply modern software engineering practices to cloud and on‑device applications, translating ambiguity into working software that delivers measurable learning and real customer value.

Location: Hybrid – Pittsburgh, PA (Core office days: Tuesday, Wednesday, Thursday)

Reports to: Director, Product Operations and Execution

What You’ll Do


* Design, build, and iterate on AI‑enabled product experiences, including LLM integrations and multi‑step AI‑driven workflows across cloud and on‑device applications


* Implement application‑layer patterns for AI features (orchestration, tool use, context handling, fallbacks, latency optimization) in partnership with AI and platform engineering teams


* Rapidly prototype new product concepts—turning hypotheses into working software and measurable outcomes


* Balance short iteration cycles and experimentation with disciplined engineering practices appropriate for regulated healthcare environments


* Contribute to evaluating AI feature readiness for production, considering quality, reliability, cost, latency, and operational supportability


* Build prototypes with a clear, realistic path to secure and compliant production, incorporating privacy, auditability, and data‑handling requirements from the start


* Write clean, maintainable, well‑tested code and continuously raise the engineering baseline through refactoring and pragmatic design improvements


* Participate in design reviews and architecture discussions, proposing tradeoffs with a focus on stability, correctness, and scalability


* Implement automated testing (unit and integration) and contribute to CI/CD pipelines that support repeatable builds and deploys


* Add instrumentation and diagnostics (logging, metri...