# Software Engineer, AI & Product Systems **Company:** [MedPro Disposal](http://jobs.workable.com/companies/dR5xwUDYyWBf4P18N3Mxzx.md) **Location:** Naperville, United States **Workplace:** on site **Employment type:** Full-time [Apply for this job](http://jobs.workable.com/view/a5ac5eef-e0cb-474b-927d-ddc4a728c01a) ## Description **Position  Overview:** 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 **Key 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. **What You Will Build:** You will own production systems. Current and upcoming projects include: **AI Scoring Pipelines** Call audio in from Gong, scored by Claude, written to Sheets, PDF scorecards generated, coaching emails sent — fully automated and already in production. **Multi-Tenant Dashboards** Client and rep-facing platforms with real-time Salesforce sync, RBAC, and embedded analytics. Built on Next.js and Supabase. **Lead Management Platform** Full Velocify replacement — skills-based routing, SLA enforcement, Twilio dialer, outbound sequencing, and completeness scoring. 25+ table schema. **AI Voice Agents** Inbound agents via Vapi and Bland with backend logic, CRM handoff, conversation memory, and live escalation routing. **Sales Performance System** Scorecard engine, intervention dashboards, morning brief generator, and lead accountability tracking wired into Salesforce via SOQL. **Internal Automation** n8n workflows, webhook-driven pipelines, and API integrations that eliminate hundreds of hours of manual work across departments. **CRM Management** Salesforce administration duties including creation of custom fields, validation rules, Flows (automation), and more. Would be involved in future projects including Service Cloud migration, build-out of products and price books, and more including Velocify administration. **On AI and Vibe Coding:** We use Claude Code, Cursor, and every AI tool that makes us faster — and we expect you to as well. But you need to understand what you are shipping. If you cannot explain what a function does, debug it without AI help, or spot a bad pattern before it hits production, this is not the right role. **We want engineers who use AI as a multiplier, not a crutch.** **Qualifications:** **Required** - **Years of Experience:** 3+ years of professional software engineering experience shipping production applications. - **Technical Stack:** Node.js, Next.js 14+, TypeScript — used daily, not aspirationally. - **Database Design:** 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. - **Location:** Must be US-based; Naperville, IL onsite preferred. **Nice-to-Have** - 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. ## Benefits **Compensation & 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.