Senior Software Engineer (AI)

About Honeybee Health

Honeybee Health is a licensed online pharmacy making prescription medications more affordable and accessible. We combine technology with pharmacy expertise to deliver a seamless experience for patients and healthcare partners alike. Our engineering team builds the systems that power prescription processing, order fulfillment, healthcare partner integrations, and patient-facing experiences.

Why this role exists

AI now writes most of our code. That hasn't made engineers less valuable — it has changed what the valuable work is. The scarce skills today are seeing what's worth building, designing systems that hold up in a regulated pharmacy, and using AI leverage to ship what used to take a team.

This is a software engineering role — you'll be building and shipping production software, not training models or doing ML research. But it's not a conventional feature-development role either. We're hiring an inventor-operator: someone who looks at how our engineering team and pharmacy operations work today, finds the places where AI changes what's possible, and then builds those systems — end to end, in production, reliably.

The one trait we're hiring for above everything else is delivery. We want someone dependable who moves fast across whatever stack the problem lives in, ships, and owns the result.

What you'll do

• Identify and propose high-leverage new systems across Honeybee — in our software (prescription processing, partner integrations, internal tools) and in operations (pharmacy workflows, patient support, order fulfillment). Prioritization is set with product & engineering leadership; your job is to surface opportunities and make the case.
• Design, build, and ship approved systems end to end: prototype in days, validate with the people who'll use them, then harden for production in a HIPAA-regulated environment. What you build may have AI features or none at all — the constant is that it's built with AI leverage.
• Own the architecture of what you build and help shape the architecture of our broader platform: service boundaries, data flows, and how new systems integrate with our Rails, Go, and Next.js applications.
• Build the leverage layer for the engineering team itself — agentic workflows and code-generation pipelines — so a small team ships like a much larger one.
• Propose and prototype new capabilities our healthcare partners and internal teams will want — AI-powered where that's the right tool — and earn team and stakeholder buy-in before building.
• Contribute to the core codebase alongside the rest of the team — this is a shipping role, and day-to-day work is delivered against our Jira roadmap like everyone else's.
• Work directly with engineering, pharmacy operations, and product leadership, with a welcome voice in every engineering conversation.

What we're looking for

*Required*

• Substantial professional software engineering experience (roughly 7+ years) — you've built, deployed, and operated real production systems.
• Hands-on, daily fluency with modern AI tooling — LLM APIs, coding agents, workflow automation — with strong opinions earned from real use, not demos.
• A track record of end-to-end delivery: you can take a vague opportunity to a working system without a detailed spec — while bringing the team and stakeholders along with you.
• Reliability. You do what you say you'll do, communicate clearly, and own outcomes through production and beyond.
• Stack flexibility — you're productive in an unfamiliar codebase or language quickly, and you pick tools for leverage, not comfort.
• Judgment about where AI belongs and where it doesn't, especially in a regulated, patient-facing business.

*A huge plus*

• Production experience in our stack: Ruby on Rails, Next.js/TypeScript/React, Go.
• DevOps depth: AWS (EKS, RDS, SQS, Lambda), Kubernetes, Terraform, CI/CD, observability.
• Experience shipping LLM-powered features or agentic systems to production.
• Healthcare, pharmacy, or regulated-industry experience (HIPAA, PHI).

Our Tech Stack

Frontend: TypeScript, React 18, Next.js 14, Tailwind CSS, Nx monorepo, TanStack Query Backend: Ruby on Rails 6, Go Databases: MySQL, PostgreSQL, Redis, SQL Server, OpenSearch Infrastructure: AWS (EKS, RDS, S3, SQS, Lambda, CloudFront), Kubernetes, Terraform, Docker Orchestration: Temporal.io Observability: Sentry, OpenTelemetry, Metabase, Grafana, Loki, Prometheus AI: LLM APIs, coding agents, and workflow automation across engineering and operations — you'll help shape what this layer becomes

Pay: $135,000.00 - $190,000.00 per year

Benefits

• 401(k) matching
• Dental insurance
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Retirement plan
• Vision insurance

Application Question(s)

• Which AI tools are part of your daily engineering work? Describe one concrete thing you shipped faster or differently because of them.
• Describe a system you took from vague idea to running in production. What was your role, and what happened after launch?
• Which of these have you shipped production code in: Ruby on Rails, Next.js/TypeScript, Go?

Education

* Bachelor's (Required)

Experience

* professional software engineering: 5 years (Preferred)

Work Location: Remote