Senior Technical Lead / Founding Product Engineer – AI Platform (Remote)

Senior Technical Lead / Founding Product Engineer – AI Platform

Engagement: Part-Time, Long-Term Contract
Hours: Approximately 20–25 hours/week
Location: Remote
Contract Duration: Initial 6 months, with potential for long-term continuation
Compensation: Negotiable based on experience and technical capability

About the Project

We are developing a new AI-powered professional and talent technology platform focused on the Caribbean and international professional market.

The platform will combine professional profiles, document and credential management, AI-powered career development, talent matching, recruitment technology, and an advanced AI interview preparation system.

The project is currently in the product architecture and MVP development stage.

Due to the confidential nature of the project, additional business and product details will be shared with the selected candidate after completion of the appropriate NDA and engagement process.

About the Role

We are looking for an experienced Senior Technical Lead / Founding Product Engineer who can independently take ownership of the technical development of the initial platform.

This is a hands-on role. We are looking for someone who can both architect and build rather than someone who only manages developers.

You will initially work part-time with the potential to become a long-term technical lead as the platform grows.

The ideal candidate should be comfortable taking a product from:

Concept → Architecture → MVP → Production

Key Responsibilities

Product & Technical Architecture

• Design scalable SaaS architecture.
• Translate product requirements into technical architecture.
• Design database and API architecture.
• Establish development standards and technical roadmap.
• Select appropriate technologies and third-party services.
• Design the platform for future scalability and additional developers.

Full-Stack Development

Build the initial MVP across:

• Frontend
• Backend
• Database
• APIs
• Authentication
• User management
• Admin functionality
• Cloud infrastructure
• Analytics
• Security

AI Development

Build and integrate AI-powered capabilities including:

• AI profile analysis
• CV analysis and optimization
• Job-description analysis
• Candidate/job matching
• Skills-gap analysis
• Career recommendations
• AI career assistant
• AI content generation
• AI interview preparation
• AI interview evaluation
• AI-powered recommendations

Experience integrating LLM APIs such as OpenAI, Anthropic, Google Gemini or equivalent is strongly preferred.

AI Interview System

A major component of the project will be an AI-powered virtual interview system.

The system should eventually allow a user to:

• Provide a job-posting URL or job description.
• Analyze the job requirements.
• Compare the job against the candidate’s professional profile.
• Generate personalized interview questions.
• Conduct an interactive AI interview.
• Ask dynamic follow-up questions.
• Conduct technical, behavioral and situational interviews.
• Support audio and video interviews.
• Analyze interview responses.
• Provide improvement recommendations.
• Recommend CV/profile improvements for the specific position.
• Track performance across multiple practice interviews.

Experience with voice AI, speech-to-text, video processing and computer vision is highly desirable.

Computer Vision / Audio AI

The platform is expected to use appropriate AI technologies to provide feedback on observable interview presentation factors such as:

• Eye/camera engagement
• Posture
• Visible distractions
• Presentation
• Speaking pace
• Pauses
• Filler words
• Answer structure
• Clarity
• Conciseness
• Communication patterns

The candidate will not necessarily need to develop computer-vision models from scratch. Experience integrating specialized AI/vision APIs is acceptable.

Third-Party Integrations

You will evaluate and integrate appropriate services for:

• AI/LLM
• OCR/document intelligence
• Identity verification
• Credential verification
• Speech-to-text
• Voice AI
• Video
• Computer vision
• Authentication
• Email
• SMS/WhatsApp
• Payments
• Cloud storage
• Analytics
• Monitoring
• Search

The platform should use a modular integration architecture so that third-party providers can be replaced without rebuilding the core system.

Technical Requirements

Required

• 7+ years of profess…