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.

About the company

Bandwidth is a communications technology company that provides cloud-based voice and messaging services. The company operates a global network infrastructure that enables businesses to embed real-time communications into their applications. Developers use Bandwidth APIs to add calling, texting, and emergency services capabilities to software platforms. The firm owns and manages its own network assets, which allows direct control over call routing and quality. This architecture supports high-volume traffic for enterprise customers and technology partners. Bandwidth serves industries that require reliable connectivity for customer engagement, security alerts, and operational workflows. The platform handles number provisioning, porting, and regulatory compliance across multiple countries. Clients integrate these tools through REST APIs and SDKs to build custom communication experiences. The company focuses on simplifying the complexity of the public switched telephone network. Its services support use cases such as contact centers, unified communications, and internet of things connectivity. Bandwidth emphasizes network transparency and direct carrier relationships. The organization invests in network redundancy and monitoring to maintain uptime. Engineering teams work on protocol optimization and real-time media processing. The business model combines platform fees with usage-based pricing for minutes and messages. Bandwidth is headquartered in Raleigh, North Carolina, with offices supporting global operations. The company trades publicly on the NASDAQ exchange under the ticker BAND.