Principal Engineer - AI

Overview

We are seeking a visionary and technically adept AI Engineer to lead the design and implementation of advanced AI and LLM-powered solutions for employee relations. Reporting directly to the CTO, this role is pivotal in transforming complex HR workflows through intelligent automation, including content generation, summarization, sentiment analysis, and predictive insights. You will architect and optimize retrieval-augmented generation (RAG) pipelines, ensure ethical and secure handling of sensitive data, and embed AI seamlessly into enterprise case management systems. This is a high-impact opportunity to shape the future of HR technology by applying cutting-edge GenAI tools and practices in a compliance-sensitive domain.

 

Join us and play a pivotal role in our pursuit of excellence!

 

At HR Acuity®, we empower our team to #BeBold—embracing innovation and new challenges. With the right tools, we help you #WorkSmarter, fostering collaboration so we can all be #BetterTogether. If you're excited about being part our growth story, we’d love to chat!

 

About Us: HR Acuity® is the leading provider of employee relations case management and investigation software. We help organizations standardize how workplace issues are reported, documented, and investigated. Our data-driven approach  to managing workplace issues helps our clients and partners build trusted, inclusive cultures where employees feel safe.

 

This is an #All-in Zone. We are a fast-growing, innovative company where being #All-in is the norm. From our female founder CEO to every team member, we embrace a fully engaged mindset. We strive for excellence every day, driven by our commitment to our mission and culture—and we welcome individuals who share our values. 

 

At the same time, we are deeply committed to fostering an inclusive, diverse workplace where different perspectives are valued and respected. We believe in creating an environment where everyone can show up as their authentic selves and thrive. If this sounds like you, keep reading.

 

Click here to learn more about our values and benefits

 

Please be informed that we are exclusively considering direct applications for this role. Applications from agencies will not be reviewed.

The Opportunity

Lead the development and integration of AI and Large Language Model (LLM)-driven capabilities to enhance decision support, workflow automation, and data-driven insights across employee relations domains.

 

• Design and implement intelligent systems that support content understanding, summarization, sentiment interpretation, and predictive analytics
• Architect and evolve retrieval-augmented generation (RAG) pipelines that leverage internal knowledge sources—such as case data, policies, and procedures—to enhance decision-making accuracy and operational efficiency.
• Develop and refine prompt engineering strategies and evaluation methodologies to ensure high model performance, relevance, and explainability.
• Embed responsible AI principles by prioritizing data privacy, security, and fairness in all AI-driven features, especially when handling sensitive employee information.
• Collaborate with cross functional teams - including with Product, Design, and Engineering teams to seamlessly embed AI into existing case management workflows and user experience.
• Stay at the forefront of the GenAI landscape, continuously evaluating and incorporating emerging models and techniques from both commercial and open-source ecosystems.
• Contribute to the development of a scalable MLOps infrastructure, enabling streamlined model lifecycle management, from training and deployment to monitoring and versioning.
• Provide technical leadership and mentorship to foster a culture of innovation and continuous learning.
• Help shape AI/ML governance frameworks and model evaluation practices aligned with compliance and HR ethics.

Qualifications

Who you are as a professional:

You have expertise in applying natural language AI to business domains with structure, nuance, and sensitivity. You’re excited by the challenge of using LLMs to deliver clarity in moments of organizational complexity—making workplace investigations, employee complaints, and HR policies easier to navigate with intelligent tools.

 

Skills and Experience: 

• Minimum of 10 years of substantial software or data engineering experience, with a minimum of 5 years in AI/ML and at least 2 years in LLM or advanced NLP 

• Proven track record of deploying LLM-powered features in real-world applications, preferably within enterpris