AI Engineer (Research & Development)

About the role

Bandwidth is seeking an AI Engineer to join our Research and Development team in Raleigh, North Carolina. You will work within a small, agile group to build and test prototypes that integrate artificial intelligence into our global communications infrastructure.

Key facts

What you'll do

• Research emerging AI and machine learning trends, specifically focusing on Large Language Models.
• Design and build prototypes for AI-driven features and services.
• Integrate AI models into potential future product offerings.
• Participate in a cross-functional team environment to share knowledge and contribute to a T-shaped skill set.
• Experiment with RAG, advanced prompting strategies, and agentic systems.
• Evaluate new AI tools and methodologies to keep our development cycle current.
• Use AI-powered coding assistants like Cursor and GitHub Copilot to accelerate innovation.
• Present research findings and prototype demonstrations to various stakeholders.

Requirements

• Bachelor degree in Computer Science, AI, ML, or a related field, or equivalent practical experience.
• Minimum of 3 years of experience in designing, building, and evaluating AI/ML models.
• Proficiency in Python and ML libraries such as PyTorch, TensorFlow, scikit-learn, or Hugging Face.
• Practical experience with LLMs, including RAG and prompting techniques like Chain of Thought, Few-shot, and Zero-shot.
• Experience building applications or services using foundational LLM APIs or open-source models.
• Ability to work in a fast-paced, startup-style environment.
• Must work full-time from the Raleigh, NC headquarters.

Nice to have

• Master degree or PhD in Computer Science, AI, or ML.
• Experience with LoRa fine-tuning, custom evaluation benchmarks, or LLM training.
• Knowledge of agentic systems, multi-modal models, Mixture of Experts, or LLM tooling.
• Familiarity with MLOps and cloud platforms like AWS SageMaker, Azure ML, or Google AI Platform.
• Experience with frameworks such as LangChain, CrewAI, Autogen, or OpenAI.
• Contributions to open-source projects or AI research publications.

Skills & tools

• Python
• PyTorch, TensorFlow, scikit-learn, Hugging Face
• LLMs, RAG, Prompt Engineering
• GitHub Copilot, Cursor
• AWS SageMaker, Azure ML, Google AI Platform
• LangChain, CrewAI, Autogen

Practical notes

• Benefits include 100% company-paid medical, dental, and vision coverage for employees and their families.
• New hires receive four weeks of PTO.
• The company enforces a PTO embargo policy where employees are not to be contacted during time off.
• Additional time off is available through volunteer hours, company challenges, and the Mahalo moments program for life events.
• On-site perks include 90-minute workout lunches and access to a company nutritionist.