AI Innovation Leader
2 days ago
Company Overview
NYX is a cutting-edge AI-Agent customer acquisition platform that leverages advanced AI technology to optimize media costs and automate campaign management for digital brands and content creators. Our innovative solutions are designed to drive growth and success in the ever-evolving digital landscape.
Salary & Benefits
We offer a competitive salary, with an estimated annual compensation of $250,000 - $350,000, depending on experience. Additionally, as an equity-based role, you will have the opportunity to participate in our company's growth and success.
About the Role
We are seeking a visionary leader to head our Engineering and AI teams. As a transformational engineer, you will be responsible for driving innovation and developing cutting-edge AI products that meet the evolving needs of our customers.
Key Responsibilities:
- Lead the development and deployment of AI agent-based products.
- Ensure alignment of AI-driven solutions with business and customer needs.
- Be actively involved in coding and architectural decisions.
- Act as a technical mentor, demonstrating coding best practices and concepts to the team.
- Oversee the design, deployment, and maintenance of scalable, cloud-based products.
- Guide and manage the data engineering team in building efficient pipelines and systems.
- Enable the team to handle large-scale data processing and ensure data integrity.
- Act as a technical navigator for both frontend and backend teams.
- Ensure seamless integration of user interfaces with backend systems.
- Build and lead a multidisciplinary team of engineers and developers.
- Foster collaboration across teams to deliver high-quality, scalable products.
Qualifications & Skills:
- Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field.
- 8-15 years of experience in engineering roles, including hands-on coding and team leadership.
- Proven expertise in full-stack development, cloud platforms, and data engineering.
- Strong knowledge of AI/ML concepts and their practical applications.
- Proficiency in modern programming languages and frameworks (e.g., Python, JavaScript, React, Node.js).
- Exceptional problem-solving, communication, and leadership skills.
Preferred Skills:
- Experience with AI agent-based products.
- Familiarity with DevOps practices and tools.
- Knowledge of scalable and secure cloud architectures.
- Team Management, Team Leadership, and Engineering Management skills.
- Experience in Project Management and Software Development.
- Demonstrated ability to lead and mentor technical teams.
Technical Expertise:
- Expertise in generative AI models such as GANs, VAEs, Diffusion Models, and LLMs.
- Deep understanding of AI model architecture, optimization, and training techniques.
- Hands-on experience with distributed computing and AI infrastructure.
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