AI Engineer Research & Development

Who We Are:

Bandwidth , a prior “Best of EC” award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders!

At Bandwidth, your music matters when you are part of the BAND.  We celebrate differences and encourage BANDmates to be their authentic selves.  #jointheband

What We Are Looking For:

Bandwidth's Research & Development (R&D) team is at the forefront of exploring and harnessing transformative technologies to define the next generation of communication experiences. We operate as a small, agile, and T-shaped group, diving deep into emerging areas like Artificial Intelligence and Machine Learning. We're seeking a highly motivated AI/ML Engineer to join this dynamic team in our Raleigh, NC headquarters.

You thrive in a collaborative, fast-paced environment where you can rapidly iterate on ideas and prototypes. You have a startup mentality, comfortable with ambiguity and driven by a relentless curiosity to explore, build, and learn. If you're passionate about applying cutting-edge AI/ML, especially Large Language Models (LLMs), to solve real-world problems and shape future products, this is the role for you. This position requires working full-time from our Raleigh office.

What You'll Do:

• Dive deep into the latest AI/ML research, particularly in the LLM space, identifying opportunities relevant to Bandwidth's domain.
• Design, build, and test proof-of-concepts and prototypes for novel AI-powered features and services.
• Implement and integrate AI/ML models, including those based on LLMs, into potential future Bandwidth offerings.
• Collaborate intensely within a small, cross-functional R&D team, sharing knowledge and contributing to a T-shaped skill set.
• Experiment with various AI techniques, including advanced prompting strategies, Retrieval-Augmented Generation (RAG), and potentially agentic systems.
• Stay constantly updated on the rapidly evolving AI landscape, evaluating new tools, models, and methodologies.
• Leverage LLM-powered IDEs and development tools (like GitHub Copilot, Cursor, etc.) to accelerate the innovation cycle.
• Clearly articulate and present research findings, experiment results, and prototype demonstrations to technical and non-technical stakeholders.

What You Need:

• Bachelor’s degree in Computer Science, AI, ML, or a related technical field, or equivalent practical experience.
• Demonstrable expertise and hands-on experience in Artificial Intelligence and Machine Learning, with deep knowledge