Senior Applied AI Engineer
Senior Backend Engineer, Applied AI
Why Clarium?
Our mission is to accelerate healthcare transformation through our AI-powered platform. We strive toward a future where hospitals are at the cutting edge of technology, operations and efficiency. Healthcare workers are inundated with endless tasks, manual processes and often unintuitive tools. Clarium is transforming healthcare by empowering providers with AI-powered software with intelligent workflow automation and actionable insights.
We envision a future where all hospitals leverage our collaborative data platform to automate their daily operational and administrative tasks, only surfacing high complexity issues that truly require their expertise.
We're backed by some of the biggest and most innovative investors in the world including: Northzone, General Catalyst, AlleyCorp, 1984 Ventures, Alumni Ventures, and others.
Role Overview
I'm Dr. Marek Sirendi, Head of AI at Clarium! Since this role will work closely with me, rather than a generic job description, I thought I'd tell you exactly what I'm looking for.
As we continue scaling our AI capabilities, I'm looking for a Senior Backend Engineer to join our Applied AI team. You'll collaborate with engineering, data, and product teams to build secure, scalable, and high-performance AI applications that improve healthcare supply chain operations with data-driven insights. This is an opportunity to have real impact, building systems that directly help healthcare providers work more efficiently.
Responsibilities
Architect and develop robust backend systems to integrate with proprietary LLM APIs
Take ownership of critical system components, from backend APIs to AI agent implementation
Design and develop scalable back-end services using Python and FastAPI
Collaborate with internal product managers and customers to align product development with real-world needs
Requirements
Demonstrated experience in building and deploying AI applications
Understanding of backend architecture principles and AI application design best practices
Experience working with RESTful APIs and integrating third-party services
Strong understanding of database technologies
Self-motivated with excellent problem-solving and communication skills
Nice-to-Haves
Support infrastructure management using Kubernetes and Terraform
Prior experience at an early-stage startup
Skills and Tools You Will Use
Need to Know:
Python, FastAPI, SQL, RESTful APIs
Nice to Know:
LLM APIs (OpenAI, Anthropic), Kubernetes, Terraform
What Success Looks Like
At Clarium we love to outline a 90-day success plan in our Job Descriptions but understand this can of course change based on company priorities or the person we hire. We hope this will at least give you an idea of what to anticipate.
At 1 Week:
Complete onboarding, meet the team, and understand our codebase architecture and AI systems.
At 1 Month:
Ship your first feature or improvement to our AI backend systems. Participate actively in sprint planning and code reviews.
At 3 Months:
Own a significant component of our AI infrastructure. Demonstrate impact through measurable improvements in system performance, reliability, or capability.
What You Get At Clarium
Incentive Stock Options proportionate to salary
Fully remote work
Unlimited PTO
Top-tier health, vision, and dental benefits
Our Hiring Process
Apply
We read every application and make our best effort to reply to everyone. Please read the job description carefully. We love when people strive but if you do not meet more than 75% of the requirements, we are less likely to respond. Please take your time on any application questions—we view them as your opportunity to stand out.
Exploratory Interview
Goal: High-level qualifications & mutual fit. 30-minute video interview with a team member who knows the product and role well. We make sure to preserve 10 minutes for your questions.
Hiring Manager Interview
Goal: Deeper understanding of team needs and your qualifications. 60-minute video interview with the hiring manager. You will get a general idea of topics in advance.
Technical Interview and Values Interview
Goal: Deep dive into your skills, knowledge, and problem solving. 1-hour technical exercise. This is a realistic interview with no abstract puzzles. We will send you information in advance and do a live exercise together. Screen sharing is expected.
Values Goal: Meet more of the team and understand what values are important to you. 60-minute video interview with 2 team members. We will provide guidance in advance.
CEO Interview
Goal: Spend 30 minutes getting to know our CEO to help decide if this is a great mutual fit for everyone involved.