Founding AI Engineer

CLM AI — Chad Love Media AIFounding AI Engineer

Founding Team Opportunity | Equity Participation | Hybrid — Marylebone, London

Position: Founding AI Engineer
Company: CLM AI (Chad Love Media AI)
Reporting to: Founder & CEO, Chad Love
Location: Hybrid — Marylebone, London / Remote
Engagement: Initial part-time or project-based arrangement, to be agreed
Equity: Equity participation offered, subject to agreement and formal documentation
Target Product Launch: Summer 2027
Start Date: By mutual agreement

1. About CLM AI

CLM AI (Chad Love Media AI) is an emerging AI-driven media and creator-economy venture exploring how artificial intelligence can transform digital creativity, entertainment and creator–audience relationships.

Our vision is to develop technology that enables creators, entertainers and public figures to build AI-powered digital experiences, connect with audiences in new ways and explore innovative approaches to content, personalisation and monetisation.

CLM AI aims to bring together artificial intelligence, software engineering, creative talent and commercial partnerships to explore the next generation of digital media.

We are seeking an ambitious Founding AI Engineer to help shape the technical foundations of the product and contribute to the development of its initial AI capabilities.

2. The Opportunity

This is an opportunity to join CLM AI at an early stage and work directly with the Founder & CEO to help define, architect and develop its AI technology.

As Founding AI Engineer, you will play a leading role in translating the product vision into a technically credible, secure and scalable solution. You will help evaluate AI models, design system architecture, develop prototypes and establish the engineering practices required to move towards an initial product launch.

The position is suited to an engineer who combines strong technical capability with entrepreneurial thinking, enjoys solving ambiguous problems and wants meaningful influence over the direction of an early-stage technology venture.

The successful candidate will have the opportunity to contribute to technical strategy, product decisions and the evolution of the engineering function as the business develops.

3. Key ResponsibilitiesAI Architecture and Technical Strategy

• Help define the AI architecture underpinning the CLM AI platform.
• Evaluate suitable large language models, multimodal models and AI service providers.
• Design approaches to model integration, orchestration, inference and API management.
• Assess the trade-offs between third-party AI services, open-source models and potential future proprietary capabilities.
• Establish a practical technical roadmap aligned with product requirements, available resources and launch objectives.
• Advise the CEO on technical feasibility, implementation complexity and development priorities.

AI Product Development

• Design and develop AI-powered creator experiences and interactive digital personas.
• Explore conversational AI, personalisation and context-aware interactions.
• Investigate voice, image and video AI capabilities where relevant to the product roadmap.
• Develop prototypes to test product concepts and demonstrate technical feasibility.
• Integrate AI services into the wider application through well-designed APIs.
• Help establish methods for evaluating response quality, latency, reliability and user experience.

Digital Creator and AI Persona Technology

• Explore technical approaches to AI representations of creators and public figures.
• Investigate systems for persona configuration, controlled personalisation and conversational consistency.
• Help design data structures and retrieval mechanisms that allow authorised creator information to inform AI interactions.
• Explore creator-specific knowledge bases, retrieval-augmented generation (RAG) and memory architectures where appropriate.
• Contribute to systems that support authorised voice, likeness and persona use, with suitable consent and usage controls.

Software Engineering and Integration

• Collaborate with software engineers and other technical contributors to integrate AI functionality into the core platform.
• Help define API contracts, service boundaries and technical interfaces.
• Review code, architecture proposals and engineering decisions.
• Promote maintainable, testable and well-documented implementations.
• Support the development of automated tests, deployment pipelines and monitoring.
• Contribute to technical documentation and development standards.

Data, Security and Responsible AI

• Help establish secure practices for handling user data, creator content and AI-generated outputs.
• Consider privacy, access controls, data retention and appropriate handling of sensitive information.
• Implement safeguards against prompt injection, data leakage, misuse and unauthorised access.
• Help develop evaluation and moderation processes for AI interactions.
• Support compliance with applicable data protection, intellectual property and AI-related requirements.
• Ensure that AI persona functionality is developed around appropriate authorisation and transparency.

Technical Leadership

• Work directly with the Founder & CEO on product priorities and technical decisions.
• Help identify future engineering requirements and specialist capabilities.
• Contribute to the selection and assessment of technical collaborators.
• Establish technical documentation and knowledge-sharing practices.
• Help shape the engineering culture and technical standards as the company grows.

4. Initial Technical Priorities

The initial phase will focus on identifying and validating a practical technical foundation for the proposed product.

Expected areas of exploration include:

• Architecture definition: Establish the proposed system components, integrations and technology choices.
• AI model evaluation: Compare suitable models against defined product requirements.
• Proof of concept: Demonstrate selected AI-powered creator or persona interactions.
• Platform integration: Define how AI capabilities will connect with the user experience, application backend and supporting services.
• Security and evaluation: Establish initial safeguards, testing methods and performance criteria.
• Launch roadmap: Produce a realistic technical plan for progressing from prototype to a launch-ready product.

Specific deliverables, deadlines and acceptance criteria will be agreed with the Founder & CEO before each project phase begins.

5. Required Technical Experience

Candidates should demonstrate relevant practical experience in AI engineering, machine learning, applied generative AI or closely related software development.

Essential experience

• Strong Python programming skills.
• Practical experience building applications using modern AI or machine learning technologies.
• Experience integrating LLMs or other AI models through APIs or model-serving infrastructure.
• Understanding of prompt engineering, structured outputs, model evaluation and AI application design.
• Experience building or integrating backend services and APIs.
• Familiarity with Git, testing, debugging and software development workflows.
• Ability to communicate technical concepts clearly to technical and non-technical stakeholders.
• A practical approach to evaluating technologies and delivering working prototypes.

Desirable experience

• Experience with agentic workflows and tool-calling systems.
• Familiarity with RAG, vector databases, embeddings and knowledge retrieval.
• Experience with multimodal AI, including voice, image or video models.
• Experience with cloud infrastructure, containers, CI/CD and production monitoring.
• Knowledge of model fine-tuning, inference optimisation or open-source model deployment.
• Experience building consumer-facing AI products or creator-economy technology.
• Familiarity with AI safety, data privacy and intellectual property considerations.
• Experience in a startup, founding engineering team or early-stage product environment.

Candidates are not expected to have mastered every technology listed. The priority is demonstrable engineering ability, sound judgement and the capacity to learn quickly.

6. Working Arrangements

The role will operate on a hybrid basis, combining remote work with agreed in-person collaboration in Marylebone, London.

• Location: Marylebone, London, with remote working.
• Working pattern: Flexible, to be agreed according to the initial engagement.
• Collaboration: Direct contact with the Founder & CEO and other technical contributors.
• Development approach: Milestone-driven, with clearly agreed priorities and deliverables.
• Equipment and expenses: Arrangements to be agreed before work begins.
• Future opportunity: Potential to expand responsibilities and commitment as the product and business develop.

The initial engagement may be part-time or project-based. Any change in hours, responsibilities or employment status will be subject to mutual agreement.

7. Equity Participation

CLM AI is offering equity participation as part of the opportunity to contribute to the venture at an early stage.

The intention is to align the interests of the Founding AI Engineer with the longer-term development and success of the company.

The proposed equity arrangement will be discussed individually with shortlisted candidates, taking into account:

• The candidate's experience and technical contribution.
• The expected time commitment and scope of responsibilities.
• The importance of the role to the product and engineering roadmap.
• The stage of the business and the level of commitment required.
• Any cash compensation agreed alongside equity.

The percentage, instrument, vesting arrangements, milestones, treatment on departure, dilution and other relevant terms will be documented formally before any equity is granted.

Important: Equity participation is subject to agreement and the appropriate company approvals and legal documentation. No specific percentage or guaranteed financial return is implied by this advertisement.

8. Ideal Candidate Profile

The ideal candidate is an ambitious, hands-on AI engineer who wants to help build something from an early stage rather than simply inherit an established technical environment.

You should be:

• Technically curious: Interested in the practical possibilities of modern AI.
• Entrepreneurial: Comfortable making progress with limited resources and evolving requirements.
• Delivery-focused: Able to turn concepts into demonstrable working systems.
• Collaborative: Comfortable working directly with a founder and other engineers.
• Analytical: Capable of assessing technical options objectively and explaining trade-offs.
• Responsible: Attentive to privacy, security, consent and the appropriate use of AI.
• Ambitious: Motivated by the opportunity to influence a product's architecture and long-term technical direction.

9. First 90-Day Objectives

Subject to the agreed engagement and availability, the initial 90 days may focus on:

Days 1–30: Discovery and architecture

• Review the product vision and initial requirements.
• Assess the proposed AI use cases and technical constraints.
• Recommend an initial AI architecture and model-selection approach.
• Identify major risks, dependencies and cost considerations.

Days 31–60: Prototype and validation

• Develop or oversee an agreed AI proof of concept.
• Demonstrate selected creator-persona or conversational capabilities.
• Evaluate response quality, performance, reliability and integration requirements.
• Document findings and recommended improvements.

Days 61–90: Roadmap and technical foundations

• Refine the architecture based on prototype results.
• Produce an actionable technical development roadmap.
• Define initial security, testing and evaluation standards.
• Recommend the engineering resources and infrastructure required for the next phase.

Progress will be assessed against agreed deliverables rather than assumptions about the candidate's availability.

10. Longer-Term Opportunity

As CLM AI develops towards its planned Summer 2027 launch, the Founding AI Engineer may have the opportunity to take on broader technical leadership responsibilities.

Depending on the individual's contribution, business requirements and mutual agreement, this could include:

• Leading AI architecture and applied AI development.
• Helping recruit and mentor additional engineers.
• Establishing engineering processes and technical standards.
• Contributing to product strategy and future AI capabilities.
• Progressing towards a broader founding technical leadership position.

Any expanded position, title, remuneration or responsibilities will be discussed separately and will depend on the company's development.

11. Application Process

Interested candidates should submit:

• A current CV or professional profile.
• A short introduction explaining their interest in CLM AI.
• Examples of relevant AI engineering projects, repositories, prototypes or technical work, where available.
• A summary of their experience with LLMs, AI APIs, machine learning or multimodal systems.
• Their current availability and preferred engagement structure.
• An indication of their expectations regarding compensation and equity participation.

Shortlisted candidates may be invited to an initial discussion with the Founder & CEO, followed by a technical conversation focused on relevant experience, architecture, problem-solving and product thinking.

CLM AI — Chad Love Media AI

Building the next generation of AI-powered creator experiences.

Founding Team Opportunity | AI Innovation | Equity Participation | Hybrid Marylebone / Remote

Pay: £40.00-£60.00 per hour

Expected hours: 5.0 per week

Work Location: Hybrid remote in Marylebone