Principal Applied AI Engineer

Job not on LinkedIn

🔥 7 minutes ago

🏈 North America – Remote

💵 $175k - $200k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 0%

infoinfo
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Bullhorn

Bullhorn

1001 - 5000 employees

👥 HR Tech

☁️ SaaS

🎯 Recruiter

💰 Private Equity Round on 2020-09

HR Tech • SaaS • Recruitment

Bullhorn is a leading provider of cloud-based software solutions specifically designed for the staffing and recruitment industry. Headquartered in Boston, Bullhorn offers a comprehensive platform that includes applicant tracking, CRM, and recruitment automation tools. The company focuses on enhancing productivity and efficiency for recruitment agencies by streamlining the recruitment lifecycle, from sourcing candidates to onboarding and invoicing. Bullhorn's offerings are enhanced with AI and analytics to provide actionable insights and improve decision-making processes for staffing firms. With over 20 years of experience and a global presence, Bullhorn is committed to empowering staffing agencies to scale their operations effectively and maintain competitive advantages in the market.

📋 Description

• Architect practical AI solutions that enable product leaders and teams to meet their goals • Serve as the primary technical consultant for product and architecture leaders during AI system design and implementation • Guide teams developing and maintaining a reusable AI tools platform, including a central LLM client and evaluation harness • Determine when to use frontier LLMs, bespoke machine learning models, or traditional NLP based on performance, cost, and speed • Lead development of dedicated and bespoke ML models for specialized tasks • Oversee internal services evolving into a central hub for LLM interactions • Create and maintain a standardized LLM client with a unified API for OpenAI, Anthropic, and open-source models • Expand reusable code libraries, tools, and vetted prompts to accelerate product team development • Standardize and improve the internal skills library for development • Own and enhance the model evaluation harness for prototyping, A/B testing, and AI quality measurement • Own the AI gateway solution, including user support, configuration refinement, efficiency monitoring, and cost monitoring • Report to leadership on AI initiative value, ROI, and total cost of ownership • Establish and govern best practices across the ML lifecycle, including prompt engineering, data privacy, model safety, and MLOps

🎯 Requirements

• Extensive hands-on experience with modern LLM-based systems, including prompt engineering, RAG, fine-tuning, and agentic workflows • Extensive hands-on experience with traditional machine learning, including classification, regression, and NLP • Proven experience designing, building, and maintaining reusable software components, libraries, and APIs used by other engineering teams • Exceptional communication skills and ability to explain complex technical trade-offs to technical and non-technical stakeholders • Experience acting as an internal consultant or solutions architect is highly desirable • Track record of implementing systems to track performance, quality, and cost and using data to make informed decisions • Expertise in AI systems, ML lifecycle best practices, data privacy, model safety, and MLOps

🏖️ Benefits

• Annual target bonus • Comprehensive benefits package • Medical, Dental, Vision • 401(k) • 401(k) Match • Unlimited Planned Paid Time Off • Global Mental Health Support • On-Demand Learning & Development • Quarterly paid volunteer days • Lucrative Employee Referral Program • Company-wide mentor program • Career development opportunities • Promotion-from-within opportunities

Apply Now

Similar Jobs

🕒 June 11

Hightouch

51 - 200

💼 Consulting

📦 Logistics

📣 Marketing

Staff Engineer focusing on AI productivity infrastructure at Hightouch. Building tools and integrations to enhance AI agents across the codebase.

Cloud

GraphQL

JavaScript

TypeScript

Go