Principal Applied AI Engineer

Bullhorn’s core purpose is to create an incredible customer experience, and the organization has a sharp focus on delivering very high quality products and services to its customers. The company culture is shaped by five Core Values: Ownership, Energy, Speed & Agility, Service, and Being Human. Each value, and its underlying definition, serves as a behavioral guide for employees as they interact with customers and fellow coworkers and is an embedded way of operating across our organization.

Bullhorn is a fast-paced and dynamic environment where hard work and outstanding results are rewarded and celebrated. We value those that exhibit an eagerness to learn and a strong natural desire for continuous improvement and we encourage team members to stretch themselves, acknowledge challenges and learn from them. With a strong focus on growth, we provide ample opportunities for career development and prioritize promoting from within. We believe that leaders should care deeply about the development of their employees at all levels, emphasizing emotional intelligence and accountability. Our leaders collaborate closely to ensure the success of their teams, and we work together to achieve shared goals, creating a challenging and rewarding workplace for everyone.

About the Role

The Principal Applied AI Engineer will be a strategic and influential hands-on-keyboard individual contributor, responsible for architecting practical AI solutions that enable product leaders and teams to meet their goals. They will guide the teams to develop and maintain a core platform of reusable tools—including a central LLM client and evaluation harness—that dramatically speeds up development, and ensures the quality of, AI backed features.

Critically, this role requires the strategic wisdom to determine the right tool for the job, making data-supported decisions for when a frontier LLM (commercial or open source) is the best approach versus when a bespoke machine learning model offers a faster, cheaper, and more effective solution. The Principal Engineer will act as the primary technical consultant for product and architecture leaders, ensuring every AI-powered feature is built on a foundation of excellence, while providing clear oversight of the cost, quality, and business value of all AI systems.

A Typical Day Will Include…

Strategic & Technical Leadership:

• Serve as the primary point of contact and principal consultant for product and architecture leaders during the design and implementation of all AI systems.
• Champion a pragmatic, results-oriented approach to AI, ensuring the team focuses on practical (Applied) solutions that enable product teams to build high quality AI backed features.
• Establish the strategic framework for deciding when to use large language models versus bespoke ML models or traditional NLP, based on performance, cost, and speed. Lead the technical development of dedicated/bespoke ML models for specialized tasks where they are the superior option.

Platform & Asset Development:

• Oversee the evolution of internal services into a robust, central hub for all LLM interactions.
• Drive the creation and maintenance of a standardized LLM client that provides a unified API for interacting with various models (e.g., OpenAI, Anthropic, open-source).
• Drive the creation, maintenance and expansion of a catalog of reusable code libraries, tools, and well-vetted prompts that provide product teams with an “80% solution” to accelerate their development cycles.
• Drive the standardization of an internal skills library for development. Diagnose issues preventing adoption and advise on fixes and improvements for the continuous improvement of the standard toolset
• Own and enhance the model evaluation harness to allow for rapid prototyping, A/B testing, and quality measurement of AI solutions. Own the AI gateway solution to support users, refine configuration, and monitor efficiency and cost

Governance & Performance Oversight:

• Provide regular, clear insights to leadership on the value, ROI, and total cost of ownership of our AI initiatives. Establish and govern best practices for the entire ML lifecycle, including prompt engineering, data privacy, model safety, and MLOps.

This Role Is a Fit for You If…

• You are a Pragmatic Innovator : A leader who is passionate about cutting-edge AI but is fundamentally driven by solving real-world problems and delive…