Bandwidth
AI Engineer (Research & Development)
About this role
Bandwidth's R&D team seeks an AI Engineer to research and prototype cutting-edge AI/ML solutions, particularly Large Language Models, for next-generation communications products. You'll work in a fast-paced, collaborative environment in Raleigh, NC, exploring emerging technologies and building proof-of-concepts that shape future offerings.
What you'll do
- Research latest AI/ML advancements in LLMs and identify applications relevant to communications
- Design, build, and test AI-powered prototypes and proof-of-concepts
- Implement and integrate LLM-based models into potential Bandwidth services
- Experiment with advanced techniques including RAG, prompting strategies, and agentic systems
- Collaborate cross-functionally within a small R&D team to share knowledge
- Present research findings and prototype demonstrations to stakeholders
What they're looking for
- Artificial Intelligence and Machine Learning
- Large Language Models (LLMs)
- Python programming
- ML frameworks (PyTorch, TensorFlow, Hugging Face, scikit-learn)
- Retrieval-Augmented Generation (RAG)
- Prompting techniques (Zero-shot, Few-shot, Chain of Thought)
- Problem-solving and navigating ambiguity
- LLM-powered development tools (GitHub Copilot, Cursor)
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Bandwidth
Bandwidth builds next-generation communications products powered by AI and intelligent automation technologies. The company is hiring NetSuite developers and AI engineers to design automation solutions, prototype advanced AI/ML systems, and develop cutting-edge communications capabilities.
- Website
- bandwidth.com
Likely interview questions
- Walk us through a recent AI/ML project where you designed and built a model from scratch. What was the problem, your approach, and how did you evaluate success?
- Describe your hands-on experience with Large Language Models. Have you implemented applications using LLM APIs or open-source models, and what challenges did you encounter?