Confluent Health
Posted 3 days agoVerified live 1d ago
AI Solutions Engineer / Product Builder
Brief overview
Remote
UndergradOr in progress
3+ yrsMinimum
11 H-1B approvalsDept. of Labor
TypeScriptREST APIsOAuth 2.0WebhooksReactSQLPostgreSQLLLM/Agentic AIPythonMicrosoft Graph API
About the company
Confluent Healthgoconfluent.com
Confluent Health is a holding company that focuses on creating a healthcare system that recognizes physical and occupational therapy.
Visa sponsorship history
3 years sponsoring, last filed FY2025
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.11H-1B approved
100%approval rate
3new H-1B hires
$76,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20245
20256
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20232
20241
20252
Top sponsored roles
Physical TherapistExercise PhysiologistOperations Manager
Job description
Summary
Confluent Health is building intelligent internal tools to help clinical, operational, and financial teams work faster and make better decisions. The AI Solutions Engineer / Product Builder will turn complex business problems into practical technical solutions, building AI-enabled tools, automations, integrations, workflows, data pipelines, and internal applications.
Responsibilities
- Turn a business request into a working technical solution
- Ask the right questions up front, then build with autonomy
- Move quickly without losing quality
- Debug issues across data, APIs, application logic, and AI workflows
- Build things that people actually want to use
- Learn unfamiliar systems and tools fast
- Use AI to multiply your output, not replace your judgment
Skills
- TypeScript: Strong fluency. This is the primary language for much of the work
- Integration Fundamentals: Strong experience with REST APIs, OAuth 2.0, webhooks, permissions, and debugging authentication issues
- React: Comfortable building functional components, hooks, and data-driven interfaces
- SQL / PostgreSQL: Strong schema design and querying skills, including joins, aggregates, and performance-aware queries
- LLM / Agentic AI: Experience building with tool-calling, prompt design, agent loops, or similar AI-driven workflows
- Python: Comfortable reading, writing, and debugging Python for scripts, pipelines, or microservices
- Microsoft 365 / Graph API: Experience integrating with SharePoint, Outlook, Teams, or Excel
- AI-assisted development: Experience using AI tools to accelerate real work while maintaining code quality and judgment
- Low-code / pro-code platforms: Experience with systems that combine workflow logic, code, and integrations
- Healthcare or regulated-environment experience: Familiarity with operational, clinical, finance, or compliance-oriented workflows
- Experience building internal tools, automations, or operational applications
- Experience with workflow orchestration or agent reliability
- Experience troubleshooting APIs, data issues, or production workflow failures
- Familiarity with persistent memory, knowledge graphs, or multi-step AI systems
Qualifications
Must Haves
- TypeScript: Strong fluency. This is the primary language for much of the work
- Integration Fundamentals: Strong experience with REST APIs, OAuth 2.0, webhooks, permissions, and debugging authentication issues
- React: Comfortable building functional components, hooks, and data-driven interfaces
- SQL / PostgreSQL: Strong schema design and querying skills, including joins, aggregates, and performance-aware queries
- LLM / Agentic AI: Experience building with tool-calling, prompt design, agent loops, or similar AI-driven workflows
Nice to Haves
- Python: Comfortable reading, writing, and debugging Python for scripts, pipelines, or microservices
- Microsoft 365 / Graph API: Experience integrating with SharePoint, Outlook, Teams, or Excel
- AI-assisted development: Experience using AI tools to accelerate real work while maintaining code quality and judgment
- Low-code / pro-code platforms: Experience with systems that combine workflow logic, code, and integrations
- Healthcare or regulated-environment experience: Familiarity with operational, clinical, finance, or compliance-oriented workflows
- Experience building internal tools, automations, or operational applications
- Experience with workflow orchestration or agent reliability
- Experience troubleshooting APIs, data issues, or production workflow failures
- Familiarity with persistent memory, knowledge graphs, or multi-step AI systems
