Hirestarter's client serves more than 9,000 pharmacies worldwide, helping them transform their businesses to improve patient adherence, reduce operating costs, and increase revenue. Their platform offers purpose-built solutions that enable pharmacies to engage patients, consolidate vendors, enhance health literacy, automate workflows, and support online scheduling for clinical programs and services.
About the Role
We're hiring an AI Engineer to help bring deep AI/ML expertise into how the company builds software. We're looking for an AI-native engineer - someone who has spent a significant part of their career applying AI/ML to real-world software problems and views tools like LLMs, Copilot/Cursor, and fine-tuned models as core parts of the modern software stack.
You'll combine strong software engineering skills with applied AI experience to:
Build production software using AI/ML techniques
Mentor other engineers on AI-first engineering practices
Work with leadership to evolve engineering processes to maximize AI leverage
This is a hands-on role. Candidates with fewer than 8 years of experience will be considered if their background is deeply focused on AI/ML and modern software development.
What You'll Do
Design, build, and deploy production software that integrates AI/ML approaches
Lead by example in applying AI-first engineering practices and mentoring teammates
Collaborate with product, design, and engineering teams to deliver impactful solutions
Help evolve team practices, tools, and workflows to better leverage AI
Participate in engineering hiring efforts
Communicate effectively with both technical and non-technical stakeholders
What We're Looking For
BS in Computer Science, Engineering, or equivalent experience
5-10+ years of professional software engineering experience (open to less if deeply AI-focused)
Experience building production software using AI/ML methods and LLM tooling (e.g., Copilot, Cursor, prompt engineering, fine-tuning, RAG)
Proven ability to design and build scalable, reliable systems
Experience with cloud infrastructure (GCP preferred)
Strong communication and mentorship skills
Ability to thrive in a fast-paced, collaborative environment
Preferred:
Prior experience in healthcare or pharmacy domains
Experience leading engineering projects
Familiarity with our stack:
Microservices in GCP using NestJS, TypeORM, TypeScript
React Native (web and mobile with Expo)
Legacy components in C / Azure
Ops tooling: Airflow, MySQL, CI/CD with Github, automated testing with Cypress, BrowserStack, Appium