ClarityCare AI’s Perspective On Effective Engineering

An engineer should possess a proactive approach to problem-solving. They should be adept at swiftly eliminating ineffective ideas and demonstrating a first-principles thinking mindset. Additionally, they should demonstrate a deep understanding of requirements and avoid accepting solutions without thorough examination. Furthermore, they should have a strong desire to comprehend the underlying mechanisms of systems and processes. Lastly, they should prioritize meticulous attention to detail and have experience in maintaining and optimizing applications.

Role(s) available

• Senior AI engineer
  • You will work on SOTA multi-modal LLMs, embeddings, fine-tuning within production-ready infrastructure
  • You will deploy AI agents to retrieve information within legacy infrastructure to 100x process of data extraction
  • You will prompt-engineer and build evaluation system to ensure quality outcomes
  • You will solve the problem of ctrl+F on steroids for a $1T market already impacting hundreds of thousands of patients
  • You will work with an A* team of ex-founders, operators & clinicians
  • You love Python & GPUs going brrr
• Senior Full Stack engineer
  • You will architect and deploy AI-native systems to support large volume of data via API
  • You’ll shape the next product iterations end-to-end integrating first-hand customer feedback
  • You will build a reliable & secure agentic infrastructure for processing clinical information of millions of patients
  • You will work with an A* team of ex-founders, operators & clinicians
  • You love the little blue french whale (if you don’t know what it is, this job is not for you)
• Forward Deployed engineer
  • You will embed directly with customers to deploy ClarityCare AI into their real-world environments
  • You will debug gnarly edge cases in production and move fast to get customers to “day-1 value”
  • You will become the trusted technical partner of COOs, CMOs, and nurses using the system daily
  • You will work with an A* team of ex-founders, operators & clinicians
  • You love rolling up your sleeves and (actually) making things work in the wild
• DevOps engineer
  • You will design, secure, and scale the infrastructure powering AI agents that process sensitive clinical data in real time
  • You will automate CI/CD pipelines to make deployments fast, reliable, and compliant with HIPAA-grade security standards
  • You will own cloud security — from IAM policies and secrets management to intrusion detection and zero-trust enforcement
  • You will build resilient systems that can handle millions of medical documents without a single patient record leaking
  • You will work with an A* team of ex-founders, operators & clinicians
  • You love Docker, Terraform, and the sound of a clean security audit

Perks

• Competitive salary ($120k-$200k base)
• Stock options
• Health benefits (+dental & vision)
• Unlimited PTO
• Friday lunches in office
• Visa transfer/sponsorship (H1B, o1)
• Latest mac laptop
• LOTS of gpu
• Coding assistant, chat-based assistant

Process

Step 1: Application