Software Engineer – Full Stack AI - US-Remote

Software Engineer – Full Stack AI - US-Remote

Remote

Perfect Serve is a leading provider of clinical communication and physician scheduling solutions in the health IT space. The company was founded in 1997 and has grown steadily since then, with a notable jump after several major acquisitions were announced in 2019. Perfect Serve now has 400+ employees, 30,000+ customers — spanning medical practices, hospitals, and health systems — and $100 million+ in annual revenue.

Perfect Serve’s mission is to accelerate speed to care by optimizing provider schedules and routing communications — including messages, pages, calls, and alerts — to the right place at the right time in any care setting. By facilitating real‑time information sharing, building better schedules, and automating important clinical workflows, we believe we can help our customers advance patient care and improve the well‑being of their clinicians.

Leading analyst firms like Gartner® and KLAS Research have consistently validated our approach:

• In 2026, Perfect Serve was named highest in execution and furthest in vision in the Gartner Magic Quadrant™ for Clinical Communication and Collaboration — the clear segment leader.
• Perfect Serve also received two Best in KLAS awards in 2026 — one for physician scheduling and another for ambulatory clinical communications. That makes for 11 Best in KLAS awards over the past 9 years.

At Perfect Serve, you'll have a unique opportunity to join a collaborative team with decades of experience that finds new ways to delight our customers every day. This involves consistent efforts to stay the cutting edge of product development, which includes everything from implementing AI in new and existing solutions to brainstorming with customers about novel workflows. But you don't have to be in product to make in impact — everybody at Perfect Serve contributes to important work that moves the business forward.

Perfect Serve is a leading healthcare communications platform that connects providers, patients, and care teams to improve clinical collaboration and patient outcomes. We are seeking a Full Stack AI Engineer to join our R&D organization and play a central role in bringing AI capabilities to production across the platform. This is a core, high‑impact role responsible for defining AI architecture standards, shipping production AI features, establishing governance and evaluation frameworks, and partnering directly with R&D leadership to shape the AI roadmap.

• Design AI integration patterns and architecture standards across the SaaS platform.
• Build RAG systems, vector search, and embedding pipelines.
• Optimize latency, inference cost, and hallucination guardrails.
• Establish model evaluation, benchmarking, and observability processes.
• Define cost controls, usage monitoring, and security/PHI handling constraints.
• Evaluate use cases with Product for ROI and feasibility.
• Advise leadership on build vs. buy decisions for AI capabilities.

• 5+ years software engineering experience with strong Python backend skills.
• Production experience with LLM APIs, RAG systems, embeddings, and vector databases.
• Cloud‑native architecture experience, preferably AWS.
• Experience in regulated or security‑conscious environments.
• Product‑minded systems thinker, comfortable with ambiguity and executive communication.

This is not a research role. This is a builder role.

At Perfect Serve, we are transforming healthcare communication and collaboration to help clinicians deliver better care. You’ll work with a dedicated and mission‑driven team in an environment that values growth, transparency, and innovation.

We offer a salary range of $,000 USD per year, with compensation tailored to your background, strengths, and potential to grow within the team. The salary range listed for this role reflects our commitment to pay transparency and is based on market data, internal equity, and the scope of responsibilities. Compensation will be determined by a combination of factors, including the candidate’s experience, skills, and the specific team or product area they support.

We regularly review…