Software Engineer

CHAD LOVE MEDIA AI (CLM AI)Job Specification: Founding Software Engineer

Location: New York City, USA — Remote
Employment Type: Full-time
Department: Technology & Product Development
Reports to: Founder & CEO, Chad Love
Target Start Date: Subject to funding and recruitment
Company: Chad Love Media AI (CLM AI)

1. About CLM AI

Chad Love Media AI (CLM AI) is an emerging AI-powered media and technology venture developing a new generation of digital entertainment, creator experiences and wellbeing technology.

Founded by Chad Love, CLM AI’s vision is to bring together artificial intelligence, music, film, sport, business, health and beauty within an engaging digital ecosystem designed for Gen Z and Gen Alpha.

Our platform aims to combine AI-powered digital personalities and creator experiences with interactive content, community engagement and emotional wellbeing.

Our mission: To harness the power of AI and creativity to inspire a new generation.

Our vision: To build a global AI-powered media ecosystem that connects entertainment, technology and human potential.

Website: https://chadlovemedia.com

1. The Opportunity

We are seeking a talented, entrepreneurial Software Engineer to join CLM AI as an early member of our founding technology team, working remotely from New York City.

This is an opportunity to help develop the technical foundations of an ambitious AI-powered media platform as it moves from MVP development towards commercial launch.

Working directly with the Founder & CEO, the successful candidate will help evolve our existing web and app products, integrate AI technologies, build scalable software infrastructure and develop new features that bring our creator and digital personality ecosystem to life.

The successful candidate will be comfortable operating in an early-stage environment, taking ownership of technical challenges and translating product ideas into reliable, production-ready software.

We are looking for someone who combines strong engineering fundamentals with curiosity, commercial awareness and a genuine interest in the future of AI.

1. Key Responsibilities

Software Engineering & Product Development

• Develop, maintain and improve CLM AI’s web applications, mobile experiences and supporting software infrastructure.
• Translate product requirements and business objectives into technical specifications and working software.
• Build reliable, secure, maintainable and scalable application features.
• Improve the existing MVP and support the transition towards a commercially viable product.
• Collaborate with the Founder & CEO, AI Engineer and other future team members to deliver the product roadmap.

AI Integration & Digital Experiences

• Integrate third-party AI models, APIs and services into CLM AI’s platform.
• Support the development of AI-powered digital personalities, creator avatars and interactive user experiences.
• Help integrate conversational AI, voice technologies, multimedia capabilities and personalised content experiences.
• Build the software interfaces and backend services required to connect AI capabilities with user-facing products.
• Work with the AI Engineer to turn AI prototypes into dependable product features.

Backend, APIs & Infrastructure

• Develop and maintain backend services, APIs, databases and authentication systems.
• Design integrations with external platforms, creator tools and content services.
• Support cloud infrastructure, deployment pipelines, monitoring and application performance.
• Implement appropriate data protection, access controls and security practices.
• Design systems with future user growth, subscription revenue and international expansion in mind.

Quality, Security & Reliability

• Write clean, testable and well-documented code.
• Develop automated tests and participate in code reviews.
• Identify and resolve bugs, performance issues and technical bottlenecks.
• Apply secure software development practices and help protect user information.
• Contribute to technical documentation and establish sound engineering standards from an early stage.

Product Strategy & Team Collaboration

• Participate in technical planning, product prioritisation and architecture decisions.
• Identify opportunities to improve development speed, product quality and operational efficiency.
• Communicate technical trade-offs clearly to non-technical stakeholders.
• Help establish CLM AI’s enginee…