Senior AI Software Engineer – Alpha Lab

Senior AI Software Engineer – Alpha Lab

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.

Location: Hybrid – Pittsburgh, PA (Core office days: Tuesday, Wednesday, Thursday)
Reports to: Director, Product Operations and Execution

The Opportunity

This isn’t a role where AI is just a buzzword on a roadmap — it’s central to what we’re building.

Alpha Lab is our innovation engine: a focused team responsible for rapidly designing, prototyping, and validating the next generation of product capabilities.

You’ll be one of the engineers shaping how we build AI here — influencing architecture decisions, setting engineering standards, and turning early-stage ideas into working software that reaches real users.

Our products span cloud-hosted services, on‑prem applications, mobile platforms, and hybrid data environments, which means the design space is wide and the problems are genuinely varied.

If you’ve shipped production software, have experience applying AI to real workflows, and thrive in environments where the problem isn’t fully defined yet — this role was built for you.

You’ll help take ideas from early concept through to validated, shippable handoff, partnering closely with Core Engineering as successful experiments transition forward.

What You’ll Own


* Design, build, and iterate on AI‑enabled product experiences — including LLM integrations, multi‑step agentic workflows, and on‑device AI capabilities — built with the engineering rigor and production thinking needed for real‑world deployment


* Implement application‑layer patterns for AI features: orchestration, tool use, context handling, fallbacks, and latency optimization — the hard parts that make AI reliable in real workflows


* Rapidly prototype new product concepts, translating ambiguous hypotheses into working software with measurable outcomes


* Evaluate AI feature readiness across quality, reliability, cost, latency, and operational supportability — and advocate clearly for what’s ready to move forward


* Build with compliance in mind from day one: privacy, auditability, and data handling are foundational in a regulated healthcare environment


* Drive engineering quality through clean, well‑tested code, thoughtful refactoring, and strong design and...