Location: Remote (US/Canada)
Our Mission
At Intelizen, we help healthcare providers capture the revenue they’ve already earned. We’re an early-stage, high-ownership team building deep infrastructure across contract intelligence, automation, and analytics. If you want to work on meaningful problems in healthcare, build fast, and develop real AI fluency, this is the place.
We’re hiring a strong software engineer who is comfortable across backend and full-stack development and excited to build AI-native systems, not just integrate APIs.
You’ll work directly with the founding team to design and ship core product capabilities. You’ll be:
● Designing scalable architecture
● Writing production-grade code
● Making foundational technical decisions
● Collaborating closely with product and customers
Tech Stack:
● Backend: Python (FastAPI), Node.js
● Frontend: React, TypeScript
● Data: Postgres, vector databases, Redis
● Infrastructure: AWS (ECS, Lambda, S3, RDS), Docker
● AI stack: OpenAI / Anthropic APIs, embeddings, prompt engineering, retrieval-augmented generation
Bonus experience:
● Document OCR pipelines
● Knowledge graphs
● Financial or revenue systems
● Secure, compliance-driven environments
Looking for:
● 1-3 years of hands-on engineering experience
● Strong backend fundamentals (APIs, data modeling, system design)
● Experience shipping production systems end-to-end
● Comfort working in ambiguity and moving quickly
● A genuine interest in developing deep AI competency
Preferred:
We’re especially interested in engineers who have:
● Built LLM-powered features in production
● Designed structured prompts and outputs
● Worked with embeddings or vector search
● Used orchestration tools like LangChain or LlamaIndex
If you’ve built AI agents, internal automation tools, or experimented deeply with LLM systems, we want to hear about it.
What You’ll Gain:
● Real ownership from day one
● Direct collaboration with customers
● Exposure to complex healthcare revenue systems
● The opportunity to build a defensible AI-native platform from the ground up
● A fast path to becoming a high-leverage AI systems engineer
High Impact
Healthcare providers are underpaid every single day due to fragmented systems and manual processes. If we get this right, hospitals and practices capture millions back into patient care. This is meaningful infrastructure. It’s technically challenging. And it’s early.
If you want to build serious systems and grow into a deeply capable AI engineer, let’s chat!
Reach out to [email protected]
