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.

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.

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 enterprise or compliance-intensive domains 

• Demonstrated proficiency in LLM patterns, encompassing fine-tuning, prompt tuning, and RAG architectures 

• Hands-on experience with platforms like OpenAI, Azure OpenAI, Hugging Face Transformers, LangChain, LlamaIndex, etc. 

• Experience working with structured and unstructured HR data (documents, interviews, case notes, etc.) 

• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and embedding techniques 

• Proven track record in building AI/ML systems with MLOps practices—CI/CD for models, monitoring, drift detection, etc. 

• Cloud-native mindset with hands-on experience in Azure, AWS, or GCP for efficient and scalable model deployment 

• Strong software engineering fundamentals; proficient in Python and familiar with Go, TypeScript, or similar languages 

• Deep knowledge of ethical AI concerns—especially fairness, auditability, and compliance in HR Tech contexts 

• Effective communicator with the ability to explain technical concepts to non-technical stakeholders 

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field; Doctorate degree is a plus 

Compensation: The pay range for this position is expected to be between $210,000-$247,000/year base; however, base pay offered may vary depending on multiple individualized, non-discriminatory factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position includes other incentive compensation opportunities in the form of discretionary annual bonus or commissions, and equity. This position is annual bonus eligible with a total On Target Earnings (OTE) of $241,000-$284,500.  Additionally, full-time employees are eligible to participate in our comprehensive benefits program, including health and wellness benefits, 401(k) retirement plan, life and disability insurance coverages, and other benefits the Company may offer from time to time.

Benefits:

• Stay healthy and happy with our comprehensive medical, dental and vision plans.
  • You can also choose from FSA or HSA options to suit your needs.
• Save for your future with our 401K plan that matches your contributions.
• Enjoy paid leave for various life events, such as sickness, disability, or parenthood.
• Own a piece of the company with our #Allin Shares Program.

Perks:

• Take a break from work with our unlimited PTO policy to refresh and recharge.
• Company paid holidays, birthday day off, closed 4th of July week and December holiday week, half day summer Fridays* and half day first Fridays*, and 8 hours of volunteer time.
• Own a piece of the company with our #Allin Shares Program.
• Earn extra cash by referring qualified candidates to join our team.
• Access professional and personal support through our employee assistance program.
• Work from anywhere with our remote work environment that fosters collaboration and creativity. *
• Join a fun and energetic team that values your suggestions and new ideas.
• Receive a competitive salary and meaningful opportunities for growth.

Learning and Development

• Onboarding: Learn the basics of your role, the company culture, and the expectations from your manager and team. Get familiar with the tools, systems, and processes that you will use in your daily work. Receive feedback and guidance from your mentor and peers.
• Manager training: Develop the skills and competencies to lead, motivate, and empower your team. Learn how to communicate effectively, delegate tasks, set goals, provide feedback, and resolve conflicts. Enhance your emotional intelligence, coaching, and mentoring abilities.
• Leadership training: Grow your leadership potential and influence within the organization. Learn how to inspire and align others with the company vision, mission, and values. Strengthen your strategic thinking, decision making, and problem-solving skills. Expand your network and collaboration with other leaders across functions and levels.
• Industry training: Stay updated on the latest trends, best practices, and innovations in the Employee Relations industry. Gain insights from experts and thought leaders in the field. Apply your learning to improve your performance, quality, and efficiency.

* Based upon business needs