Description:
As a Junior to Early Mid-Level Software Engineer at our AI-driven healthcare startup, you’ll have the chance to work on a wide range of challenges: integrating advanced AI and LLM (Large Language Model) features, automating data workflows, and building robust full-stack solutions. You’ll collaborate closely with a diverse group of stakeholders—Product Managers, Clinicians, Tech Ops, and Customer Service Representatives—to create scalable, secure, and compliant applications that handle sensitive healthcare data.
Our current tech environment centers around C#, Python, and Microsoft Azure. We leverage tools like n8n for automation, and are pushing the boundaries with ML and LLM stacks (Azure’s AI services, Bedrock, OpenAI, Claude, Vertex). You’ll have the opportunity to learn and grow quickly, working in a startup setting that moves at lightning speed and encourages innovation at every turn.
We’re Looking For Someone Who Is:
- Hungry & Curious: You’re excited by complex challenges, eager to learn new technologies, and thrive when pushing yourself outside of your comfort zone.
- Technical & Adaptable: You have a foundational understanding of backend development (C#, Python), cloud infrastructures (Azure), and workflow tools (n8n). Exposure to ML platforms and LLM integration is a big plus.
- Startup-Ready: You’re comfortable with rapid iteration, ambiguity, and shifting priorities—traits that are vital in a high-growth environment.
- Mission-Driven: You care about improving healthcare and are motivated by the potential to positively impact patient outcomes.
Key Qualifications:
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree is a plus.
- Programming Languages: Familiarity with C# and Python. Hands-on experience with modern frameworks, APIs, and full-stack development is a plus.
- Cloud & Infrastructure: Exposure to Microsoft Azure services (Compute, Storage, Databases). Infrastructure-as-code (Terraform) knowledge is a bonus.
- Automation & Workflows: Understanding of workflow automation tools like n8n or equivalent platforms.
- AI/ML & LLMs: Basic-to-intermediate experience integrating AI/ML features—such as Azure Cognitive Services, Bedrock, OpenAI, Claude, or Vertex—into applications.
- Security & Compliance: Awareness of data security best practices and the importance of compliance frameworks (e.g., HIPAA) in healthcare.
- Collaboration & Communication: Strong interpersonal skills, with the ability to work alongside product teams, clinicians, and other engineers.
- Location: Must be based in New York, with the ability to collaborate on-site as needed.