harri is the frontline employee experience platform built for companies who have service at the heart of their business. The solution is built on the notion that the customer experience will never exceed the employee experience. The Harri suite of talent attraction, workforce management and employee engagement technologies enable organizations to attract, manage, engage and retain the best talent for their business.

Hospitality is in our DNA, with most of our global team having front line and management restaurant experience - we are changing the landscape of our industry and frontline workers technology. We need the very best and brightest to join us on this mission to disrupt the market as it stands today. 

Based in NYC, Harri has global offices in the UK, Palestine and India and has been awarded: Top 50 Startup by LinkedIn, Best Enterprise Solution for HR/Workforce by HR Tech Awards & NYC Best Tech Startup for the Tech in Motion Events Timmy Awards.

Job Summary:
We are seeking an experienced and innovative Senior Generative AI Engineer to lead the design, development, and implementation of cutting-edge generative AI models and solutions. As a senior team member, you will leverage your deep understanding of machine learning, natural language processing, and generative AI technologies to develop impactful solutions that meet complex business needs. Your expertise will help shape the company's AI strategies, mentor junior engineers, and drive innovation in generative AI applications across various domains.

Key Responsibilities:

1. Model Development and Optimization

• Design, develop, and deploy state-of-the-art generative AI models (e.g., GPT, Stable Diffusion, etc.) tailored to business requirements.

• Train, fine-tune, and optimize large-scale language models (LLMs) and multimodal models for improved performance and efficiency.

• Develop innovative architectures and techniques to enhance generative AI capabilities.

2. Research and Innovation

• Stay up to date with the latest advancements in generative AI, deep learning, and NLP.

• Experiment with novel algorithms, tools, and methodologies to create groundbreaking AI solutions.

• Publish technical findings and research contributions to help maintain the company’s thought leadership in AI.

3. Project Management and Deployment

• Collaborate with cross-functional teams to identify opportunities for generative AI applications.

• Lead end-to-end project lifecycle: from research and prototyping to deployment and maintenance.

• Implement scalable AI pipelines and integrate generative AI solutions into existing systems or products.

4. Leadership and Mentorship

• Provide technical leadership and mentor junior engineers in the AI/ML team.

• Promote a culture of innovation, collaboration, and continuous learning within the team.

• Review code, ensure best practices, and maintain high-quality AI solutions.

5. Ethics and Responsible AI

• Ensure all generative AI solutions comply with ethical guidelines, data privacy, and responsible AI principles.

• Evaluate potential biases in models and mitigate risks to ensure fairness and inclusivity.

Qualifications:

• Education: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred).

• Experience: 5+ years of experience in machine learning, AI engineering, or similar roles, with a focus on generative AI.

• Proven experience working with large language models (LLMs), GANs, VAEs, transformers, or similar architectures.

• Experience deploying AI/ML models into production at scale.

Technical Skills:

• Strong programming skills in Python, TensorFlow, PyTorch, or similar frameworks.

• Expertise in natural language processing, computer vision, or multimodal AI.

• Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools for model deployment.

• Solid understanding of distributed computing and big data frameworks (e.g., Spark, Hadoop).

Soft Skills:

• Strong problem-solving and critical-thinking abilities.

• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.

• Leadership skills and the ability to work collaboratively in a team-oriented environment.

Preferred Qualifications:

• Experience working with tools like Hugging Face, OpenAI API, or similar platforms.

• Familiarity with ethical AI principles and best practices.

• Published work or patents in the generative AI space is a plus.

harri is the frontline employee experience platform built for companies who have service at the heart of their business. The solution is built on the notion that the customer experience will never exceed the employee experience. The Harri suite of talent attraction, workforce management and employee engagement technologies enable organizations to attract, manage, engage and retain the best talent for their business.

Hospitality is in our DNA, with most of our global team having front line and management restaurant experience - we are changing the landscape of our industry and frontline workers technology. We need the very best and brightest to join us on this mission to disrupt the market as it stands today. 

Based in NYC, Harri has global offices in the UK, Palestine and India and has been awarded: Top 50 Startup by LinkedIn, Best Enterprise Solution for HR/Workforce by HR Tech Awards & NYC Best Tech Startup for the Tech in Motion Events Timmy Awards.

Job Summary:
We are seeking an experienced and innovative Senior Generative AI Engineer to lead the design, development, and implementation of cutting-edge generative AI models and solutions. As a senior team member, you will leverage your deep understanding of machine learning, natural language processing, and generative AI technologies to develop impactful solutions that meet complex business needs. Your expertise will help shape the company's AI strategies, mentor junior engineers, and drive innovation in generative AI applications across various domains.

Key Responsibilities:

1. Model Development and Optimization

• Design, develop, and deploy state-of-the-art generative AI models (e.g., GPT, Stable Diffusion, etc.) tailored to business requirements.

• Train, fine-tune, and optimize large-scale language models (LLMs) and multimodal models for improved performance and efficiency.

• Develop innovative architectures and techniques to enhance generative AI capabilities.

2. Research and Innovation

• Stay up to date with the latest advancements in generative AI, deep learning, and NLP.

• Experiment with novel algorithms, tools, and methodologies to create groundbreaking AI solutions.

• Publish technical findings and research contributions to help maintain the company’s thought leadership in AI.

3. Project Management and Deployment

• Collaborate with cross-functional teams to identify opportunities for generative AI applications.

• Lead end-to-end project lifecycle: from research and prototyping to deployment and maintenance.

• Implement scalable AI pipelines and integrate generative AI solutions into existing systems or products.

4. Leadership and Mentorship

• Provide technical leadership and mentor junior engineers in the AI/ML team.

• Promote a culture of innovation, collaboration, and continuous learning within the team.

• Review code, ensure best practices, and maintain high-quality AI solutions.

5. Ethics and Responsible AI

• Ensure all generative AI solutions comply with ethical guidelines, data privacy, and responsible AI principles.

• Evaluate potential biases in models and mitigate risks to ensure fairness and inclusivity.

Qualifications:

• Education: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred).

• Experience: 5+ years of experience in machine learning, AI engineering, or similar roles, with a focus on generative AI.

• Proven experience working with large language models (LLMs), GANs, VAEs, transformers, or similar architectures.

• Experience deploying AI/ML models into production at scale.

Technical Skills:

• Strong programming skills in Python, TensorFlow, PyTorch, or similar frameworks.

• Expertise in natural language processing, computer vision, or multimodal AI.

• Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools for model deployment.

• Solid understanding of distributed computing and big data frameworks (e.g., Spark, Hadoop).

Soft Skills:

• Strong problem-solving and critical-thinking abilities.

• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.

• Leadership skills and the ability to work collaboratively in a team-oriented environment.

Preferred Qualifications:

• Experience working with tools like Hugging Face, OpenAI API, or similar platforms.

• Familiarity with ethical AI principles and best practices.

• Published work or patents in the generative AI space is a plus.