Note: The job is a remote job and is open to candidates in USA. Bullhorn is focused on delivering high-quality products and services while creating an incredible customer experience. The Principal Applied AI Engineer will architect practical AI solutions, guide product and engineering teams, build reusable LLM and machine learning platforms, and provide technical oversight of AI system quality, cost, and business value.
Responsibilities
- 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
- 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
- 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
Skills
- Extensive hands-on experience in both modern LLM-based systems (prompt engineering, RAG, fine-tuning, agentic workflows) and traditional machine learning (e.g., classification, regression, NLP)
- Proven experience designing, building, and maintaining reusable software components, libraries, and APIs that are used by other engineering teams
- Exceptional communication skills with the ability to explain complex technical trade-offs to both technical and non-technical stakeholders
- Has a track record of implementing systems to track performance, quality, and cost, and using that data to make informed decisions
- Experience acting as an internal consultant or solutions architect is highly desirable
Benefits
- Annual target bonus eligibility
- Benefits eligibility effective DAY ONE including Medical, Dental, Vision, 401(k), 401(k) Match, and more
- Unlimited Planned Paid Time Off
- Global Mental Health Support
- On-Demand Learning & Development
- Quarterly paid volunteer days
- Lucrative Employee Referral Program (eligible for prior to your first day)
- Company-wide mentor program
Company Overview
Company H1B Sponsorship