
Senior Fullstack Engineer (Clone)
- $100k – $108k • 0.01% – 0.1%
- |
- |5 years of exp
- |Full Time
In office
Not Available
About the job
Senior Backend/ML Engineer @ Alaris Mail
Location: Boise, ID (on-site/hybrid)
Type: Full-Time
Comp: $100K-$108K + equity
Start: ASAP
Apply: [email protected]
About Alaris Mail
Alaris Mail is an AI-powered email client built for commercial real estate dealmakers. We automatically extract tasks, contacts, critical dates, and deal intel from emails so brokers and investors can move faster and never miss a beat.
We have paying customers, a growing waitlist, and a clear product roadmap. We've also just grown our engineering team — now we're looking for the next person to join us.
About the Role
You'll be joining a four-person engineering team: our CTO Bethany Hull, two principal engineers who were part of Kount's engineering team through its exit to Equifax, and another senior fullstack engineer. This is a backend-leaning role — most of your day-to-day will be in Python, working on our LLM pipeline (prompt design, context management, testing/evals) that turns unstructured email data into structured deal intel. You'll touch the frontend (React/TypeScript) when needed, but the core challenge of this role is backend and AI/ML work.
We're a small, seasoned team, so you'll have real ownership from day one — working alongside engineers who've shipped and scaled through an acquisition before. You'll ship features that go directly to customers, help shape architecture decisions, and see the impact of your work immediately.
What You'll Work On
- Designing, testing, and iterating on LLM prompts and pipelines that extract tasks, contacts, critical dates, and deal intel from unstructured email (Claude, OpenAI Whisper, Gemini)
- Building evals and testing frameworks to measure and improve extraction quality
- Contributing to backend services (Python 3.11, FastAPI, SQLAlchemy, Celery, Redis)
- Exploring classical ML approaches (classification, clustering, NLP) where they outperform or complement LLM calls
- Working with our infra (Docker, GCP Cloud Run, GitHub Actions)
- Touching the frontend (React 18, TypeScript, Vite, Tailwind, Radix UI, Tiptap) as needed — not the focus, but you should be willing
- Collaborating directly with the CEO and engineering team on product direction
What We're Looking For
- 5+ years of professional software engineering experience
- Strong Python backend skills (this is the core of the role)
- Experience designing, iterating on, and testing LLM prompts in production — the hard part of this job is turning messy, unstructured email data into reliable, structured output
- Comfortable working with context management, evals, and prompt/output testing for LLM pipelines
- Experience with classical machine learning (e.g. classification, clustering, NLP) is a plus
- Willing to pick up React/TypeScript and work in the frontend when needed
- Self-directed and comfortable in a fast-moving startup environment
- Based in or willing to relocate to Boise, ID
Why Alaris Mail
- Join a funded startup with paying customers, real traction, and an experienced engineering team
- Work directly with engineers who've been through a startup exit (Kount → Equifax)
- Direct impact on the product and company direction
- Work with cutting-edge AI/LLM technology daily
- Competitive salary + meaningful equity
- Small team, no bureaucracy, ship fast
- Founded by a repeat founder (previous exit to Honeywell)
Tech Stack
- Backend: Python 3.11, FastAPI, SQLAlchemy, Celery, Redis
- AI: Claude, OpenAI Whisper, Gemini
- Infra: Docker, GCP Cloud Run, GitHub Actions
- Frontend (as needed): React 18, TypeScript, Vite, Tailwind, Radix UI, Tiptap
To apply, send your resume and a short note about why you're interested to [email protected]
About the company
