Software Engineer - Full Stack & Agentic AI

Convoy Health is building a healthcare AI platform that turns complex healthcare data into actionable intelligence. The Full Stack & Agentic AI Software Engineer will build frontend experiences, backend services, and AI integrations, shipping dashboards, work queues, report builders, and conversational AI features for healthcare finance and operations leaders.

Responsibilities

Build and maintain decision intelligence dashboards spanning the full product surface: financial forecasting, VBC performance tracking, visit optimization, provider benchmarking, capitation reconciliation, population health surveillance, revenue cycle analytics, and contract modeling

Implement the agentic AI interface: conversational chat with inline data visualizations, autonomous action proposals, attestation blocks, multi-step workflow execution, and real-time status progression

Build work queue UIs for payment integrity, coding review, and contract variance: flagged items with explainability narratives, confirm/clear workflows, and dollar-impact tracking

Implement multi-tenant features: organization branding, role-based navigation, parent/child org switching, tenant configuration

Build report generation and export flows: block-based report editor, PDF/XLSX export, version history, scheduled delivery

Work with the existing component library to maintain design consistency

Ensure accessibility compliance (WCAG 2.1 AA) across all new features

Write serverless handlers for API endpoints: AI agent orchestration, admin operations (tenant provisioning, user invitation, SSO configuration), report generation, data upload

Integrate with the analytics query layer: wire up frontend query builders, implement tenant security context injection, optimize query patterns for dashboard performance

Build tenant provisioning workflows: identity provider management, database schema setup, encryption key creation, default configuration seeding

Implement audit logging: capture all PHI access, mutation, and export events per HIPAA requirements

Write API integration code for the AI agent: LLM invocation, action group handlers, conversation history management, knowledge base configuration, tool-use orchestration

Build data upload flows for multiple source systems: claims files, EMR extracts, GL exports, scheduling data, payer remittance, with presigned URLs, progress tracking, ingestion status, and rejection reports

Contribute to the AI agent's capabilities: new action groups, tool definitions, prompt engineering, guardrail configuration, and multi-step workflow orchestration

Use AI-assisted development tools daily. You're expected to leverage agentic coding assistants, understand prompt engineering, and contribute to an AI-first development culture

Contribute to infrastructure-as-code: add new serverless functions, API routes, storage resources, IAM policies, monitoring alarms

Write and maintain CI/CD pipeline steps: type checking, linting, unit tests, infrastructure diffs

Preferred

Experience building with or integrating LLM/AI agent systems (API calls to Claude, GPT, or similar), including multi-step tool use, function calling, retrieval-augmented generation, and human-in-the-loop workflows

Experience with modern frontend tooling: Vite, Tailwind CSS, component libraries, charting libraries, or similar React ecosystem tools

Exposure to infrastructure-as-code (CDK, CloudFormation, Terraform, Pulumi)

Basic understanding of healthcare data concepts (claims, providers, payers, NPI), or genuine interest in learning the domain

Experience with authentication systems (Cognito, Auth0, Clerk, or similar)

Experience writing tests (Jest, Vitest, React Testing Library)

Founding-engineer or early-engineer experience at a venture-backed startup, or Member of Technical Staff at an AI lab: you've shipped 0-to-1 in ambiguity

Prior time at a healthcare AI company (Tempus, Lightbeam, Lyra, Holmusk, Hinge, Carbon, Devoted, Qventus, Remo, Sprinter, etc.) is a strong plus

LLM System Integration

AI Agent Systems

Claude API

GPT API

Multi-Step Tool Use

Human-in-the-Loop Workflows

Modern Frontend Tooling

Vite

Tailwind CSS

Component Libraries

Charting Libraries

React Ecosystem

Infrastructure as Code

AWS CDK

CloudFormation

Terraform

Pulumi

Healthcare Data Concepts

Claims Data

Provider Data

Payer Data

NPI

Authentication Systems

Amazon Cognito

Auth0

Clerk

Software Testing

Jest

Vitest

React Testing Library

Founding Engineer Experience

Early-Stage Engineering

Venture-Backed Startup Experience

AI Lab Experience

Zero-to-One Product Delivery

Healthcare AI Company Experience

Adaptability in Ambiguity

Interest in Learning

Benefits

Equity

Remote, US-based

Company

AI-powered financial operating system for medical groups

New York, New York, USA

https://convoyhealth.com/

Founded in 2025

2-10 employees

Qualifications

3–5 years of professional software engineering experience

Solid fundamentals in TypeScript and React: you can build components, manage state, handle async data fetching, and debug rendering issues

Basic backend experience: writing API handlers, working with databases (SQL), understanding REST APIs

Comfort with AI-assisted development: you actively use AI coding tools and understand how to work effectively with LLMs

Familiarity with Git workflows (branching, PRs, code review)

Willingness to learn cloud services: you should be comfortable reading docs and working with serverless functions, object storage, and API gateways

Strong communication skills: you'll participate in design discussions and work directly with data engineers and data scientists

Hands-on experience building with LLMs and agentic patterns (tool use, function calling, RAG), not just calling an API

Experience building with or integrating LLM/AI agent systems (API calls to Claude, GPT, or similar), including multi-step tool use, function calling, retrieval-augmented generation, and human-in-the-loop workflows

Experience with modern frontend tooling: Vite, Tailwind CSS, component libraries, charting libraries, or similar React ecosystem tools

Exposure to infrastructure-as-code (CDK, CloudFormation, Terraform, Pulumi)

Basic understanding of healthcare data concepts (claims, providers, payers, NPI), or genuine interest in learning the domain

Experience with authentication systems (Cognito, Auth0, Clerk, or similar)

Experience writing tests (Jest, Vitest, React Testing Library)

Founding-engineer or early-engineer experience at a venture-backed startup, or Member of Technical Staff at an AI lab: you've shipped 0-to-1 in ambiguity

Prior time at a healthcare AI company (Tempus, Lightbeam, Lyra, Holmusk, Hinge, Carbon, Devoted, Qventus, Remo, Sprinter, etc.) is a strong plus

Required skills

Function Calling, Git, Infrastructure as Code, LLM and Agentic AI Development, REST APIs, React, Represents the skills you have, Retrieval-Augmented Generation, SQL, Tailwind CSS, TypeScript, Vite, click on the tags

Experience

3-5 years