Job Opportunities API

Who We Are:   At Bandwidth , we shape how the world connects. We're the global communications software company and Tier 1 network operator with global reach.  The voice, messaging, and emergency services infrastructure behind the brands and apps you use every day. Because we own the network we build on, the problems you'll solve here are bigger, more complex, and more impactful. And as communications shifts to AI, we're the infrastructure layer making it possible. We call ourselves BANDmates because building something this big takes collaboration, different perspectives, and the freedom to bring your authentic self to the table. We're experts who speak like humans. Ready to build what's next? #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 in at least one specific AI domain (e.g., NLP, LLMs, Speech Recognition). Proven experience (typically 3+ years) designing, building, and evaluating AI/ML models and systems. Strong programming skills, particularly in Python and familiarity with common ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face). Solid understanding and practical experience with Large Language Models (LLMs) and associated concepts, including Retrieval-Augmented Generation (RAG) and various prompting techniques (e.g., Zero-shot, Few-shot, Chain of Thought). Experience implementing services or applications built on top of foundational LLMs (via APIs or open-source models). Proven ability to thrive in a small, highly collaborative team environment with an urgent, results-oriented culture. Significant experience in startups or similar fast-moving, resource-constrained organizations is highly desirable. A relentless curiosity and passion for exploring new technologies and techniques in the AI/ML spa