Software Engineer, AI & Product Systems

MedPro Disposal • Naperville, IL

18h • $80,000 - $150,000 • Hybrid

About The Position

MP1 Solutions & MedPro Disposal is actively building the AI and product infrastructure that powers the nation's first Compliance Services Organization — a new category of operating partner for non-acute healthcare facilities. This role exists to turn that vision into production-grade software: real systems, used by real clients, generating real revenue. The Software Engineer, AI & Product Systems will own the design and delivery of multi-tenant dashboards, AI scoring pipelines, voice agent integrations, and CRM-connected platforms that define our compliance technology stack. Success looks like reliable, scalable systems that make our clients' compliance programs run without friction — and make our internal teams faster, smarter, and more accountable.

Requirements

• 3+ years of professional software engineering experience shipping production applications.
• Node.js, Next.js 14+, TypeScript — used daily, not aspirationally.
• PostgreSQL or Supabase — schema design, normalization, complex queries, and indexing.
• API Integration: REST, OAuth2, JWT, webhooks — you build integrations that don't break at 2am.
• LLM Integration: At least one shipped production feature using Claude or OpenAI, including prompt design, streaming, token management, and error handling.
• Real-Time Systems: WebSockets, SSE, or Supabase Realtime — you've built something that updates live.
• Testing & CI/CD: You write meaningful tests and do not break main. GitHub Actions, Vercel, staging/prod discipline.
• Security Awareness: RBAC, input sanitization, secret management, rate limiting, CORS — you handle the basics without being asked.
• AI Tool Proficiency: You use Claude Code, Cursor, and similar tools actively — and you can explain, debug, and audit what they generate.
• Must be US-based; Naperville, IL onsite preferred.

Nice To Haves

• Salesforce API integrations — jsforce, REST, bulk jobs.
• PDF generation pipelines — Puppeteer, React-PDF, or equivalent.
• Voice agent platforms — Vapi, Retell, or Bland webhook architecture and real-time audio design.
• Multi-tenant SaaS patterns — row-level security, scoped data access, organization isolation.
• RAG pipeline design — chunking strategy, embedding models, retrieval evaluation.
• Prior experience at a B2B company where software you built touched revenue directly.

Responsibilities

• Build and maintain production AI pipelines — including call scoring via Claude, automated PDF scorecard generation, and coaching email delivery integrated with Gong and Google Sheets.
• Develop and own multi-tenant client and rep-facing dashboards with real-time Salesforce sync, role-based access control (RBAC), and embedded analytics on Next.js and Supabase.
• Architect and deliver the internal Lead Management Platform replacing Velocify — including skills-based routing, SLA enforcement, Twilio dialer, and completeness scoring across a 25+ table schema.
• Integrate and maintain AI voice agent infrastructure (Vapi, Bland) with backend CRM handoff, conversation memory, and live escalation routing.
• Administer and extend Salesforce across Sales, Service, and Marketing Clouds — building custom fields, validation rules, Flows, and SOQL-driven analytics for the sales performance system.
• Design and maintain internal automation workflows via n8n, webhook-driven pipelines, and API integrations that eliminate manual work across departments.
• Uphold engineering discipline: write tests for real edge cases, maintain CI/CD pipelines via GitHub Actions and Vercel, manage staging vs. production environments, and ensure security best practices including RBAC, input sanitization, and secret management.

Benefits

• Competitive base salary of $80,000 – $150,000 , depending on level experience.
• Comprehensive health, dental, and vision insurance coverage.
• Direct exposure to executive leadership and the opportunity to help architect the technology foundation of a rapidly scaling AI-driven compliance platform.
• High-ownership engineering environment where your work directly impacts revenue, operations, and client experience.
• Opportunity to build production-grade AI systems, voice agents, internal automation platforms, and multi-tenant SaaS products from the ground up.
• Access to modern engineering tools, AI-assisted development workflows, and emerging LLM technologies.
• Collaborative, fast-moving culture focused on innovation, execution, and continuous improvement — with minimal bureaucracy.
• Career growth opportunities within a scaling technology and compliance organization operating at the intersection of AI, SaaS, and healthcare operations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed