redventures · Charlotte, NC
Skills: TypeScript, JavaScript, Node.js, AWS
This role requires a hybrid schedule and will be based in our South Charlotte, NC Headquarters (Monday through Thursday) and work fully remotely on Fridays each week. This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp. Red Ventures Home is looking for a Fullstack Senior Engineer to own the telephony systems and AI-powered tooling that sit at the heart of our sales center operations. You'll lead the modernization of our core telephony systems, build new inbound and outbound call flows, and embed LLM capabilities: call summarization, sentiment detection, automated QA: directly into the products our teams rely on every day. This is a role for an engineer who uses AI development tools not as a convenience but as a core part of how they build, and who wants to raise the bar for how an entire team works. What You’ll Do: Own BAU support of existing Twilio-based sales center tooling while leading the end-to-end migration of those systems to Genesys, including cutover planning, testing, and stabilization Design and implement new inbound and outbound call flows for new projects, working across the full stack from telephony configuration to backend services Identify and build opportunities to embed LLM and AI capabilities into existing products and workflows, including call summarization, sentiment and topic detection, and automated QA Use AI development tools (Claude, ChatGPT, Cursor) actively across the entire development lifecycle: writing, reviewing, and testing code: and build custom skills, prompts, and workflows on top of them to make the tools more effective for the team Mentor teammates on AI-assisted development best practices and drive adoption across the team, raising overall fluency rather than just modeling it yourself Implement new features in existing projects end-to-end, from architecture and implementation through deployment and observabili…
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