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Software Engineer

HireBetter

Raleigh, NC · Posted September 19, 2026

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Pay compared with the market

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How AI is used in this kind of work

Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Skills this job asks for

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  • Python
  • Java
  • GitHub
  • Node.js

About the job

Software Engineer, AI-Accelerated Development

Picture your typical Tuesday: you're pairing with an AI assistant to knock out a feature, catching what it gets wrong, and shipping code that's actually production-ready by lunch. If that sounds like your kind of day, keep reading.

About the Company:

Our client is a cloud communications API platform (CPaaS) that powers voice and text messaging for more than 1,500 companies, ranging from contact centers to fintech platforms to mobile carriers. Their lineup spans voice APIs, SMS/MMS messaging, RCS for Business, branded calling tools, and bring-your-own-carrier (BYOC) options, engineered around carrier redundancy, compliance, and U.S.-based support. Their customers depend on this team to make sure every call and text gets where it's going.

The Role:

This team needs a Software Engineer who's already folding AI tools into daily development and wants to get even sharper doing it. You'll build across the Voice, Messaging, and Platform Services stack, leaning on AI coding assistants for scaffolding, review, testing, and documentation, all while learning when to trust the output and when to catch its mistakes. It's an ideal next step for someone early in their AI-assisted development path who wants to level up fast, working alongside engineers who live in this world every day.

Your Day-to-Day:

Build and ship features across Voice, Messaging, and Platform Services (APIs, routing logic, carrier integrations, messaging pipelines)

Bring AI coding assistants (Claude Code, Codex, GitHub Copilot, Cursor, or similar) into your everyday workflow

Get hands-on with AI agents for real engineering tasks like testing, documentation, and code migration, with support from senior teammates

Rotate through weekly on-call for production systems carrying live voice and messaging traffic

Partner with product management on scoping and estimation

Document what you learn, including what works (and doesn't) with AI-assisted development

What Gets You In the Door:

3 to 5 years of professional software engineering experience, backend/API work or distributed systems preferred

You already use AI coding tools regularly and want to get better at it, not just dabble

Solid fundamentals in data structures, testing, and system design so you can spot when AI-generated code is wrong

Comfort with a modern backend language/framework (Node.js, Python, Go, or Java); this team runs primarily on Node with some Python

Strong writing skills for documentation and team communication

Able to be onsite in Raleigh, NC Wednesdays and Thursdays each week; this role cannot sponsor work visas

Nice to have: exposure to telecom protocols (SIP, SMPP) or messaging standards (SMS/MMS/RCS)

Perks That Come With It:

Medical, 100% fully covered for employee, plus dental and vision for you and your family

Generous PTO and 10+ paid company holidays

401(k) with a 4% match

Competitive salary plus commission

Team-building events, volunteer days, and a genuinely collaborative culture

Why This Role, Why Now:

Real infrastructure, real stakes: your code carries actual calls and texts for real customers

A front-row seat in the fast-growing CPaaS space

A small, senior team where your work is visible, not buried

Room to grow your AI fluency quickly, with people around you who can teach it

Genuinely open-ended career path from here

Hybrid setup in Raleigh, onsite Wednesday and Thursday

Interested? Send over your resume along with a short note on how AI already shows up in the way you build software.