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:

1. Provide a job-posting URL or job description.
2. Analyze the job requirements.
3. Compare the job against the candidate's professional profile.
4. Generate personalized interview questions.
5. Conduct an interactive AI interview.
6. Ask dynamic follow-up questions.
7. Conduct technical, behavioral and situational interviews.
8.



Support audio and video interviews.
9. Analyze interview responses.
10. Provide improvement recommendations.
11. Recommend CV/profile improvements for the specific position.
12. 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 professional software development experience
- Strong full-stack development experience
- React / Next.js
- TypeScript / JavaScript
- Node.js and/or Python
- PostgreSQL or equivalent
- REST APIs
- SaaS architecture
- Cloud deployment
- Git/GitHub
- Authentication and authorization
- API integrations
- CI/CD
- Application security

Strong AI Experience

- LLM APIs
- Prompt engineering
- AI application development
- AI workflows/agents
- RAG
- Embeddings/vector search
- Document AI
- Speech-to-text
- AI evaluation
- AI orchestration

Highly Preferred

Experience with:

- Computer vision
- Voice AI
- Video processing
- AI interview systems
- Recruitment/HR technology
- Career platforms
- Digital credentials
- Identity/verification systems
- FinTech or workforce technology

Preferred Technology Experience

Experience with some of the following is advantageous:

- OpenAI
- Anthropic
- Google AI
- Mux
- Google Document AI
- AWS
- Cloudflare
- PostgreSQL
- Redis
- OpenSearch/Elasticsearch
- Vector databases
- Clerk/Auth0
- Stripe
- Twilio
- Sentry
- PostHog

You do not need experience with every technology listed.

We are looking for solid engineering fundamentals and the ability to select and integrate the right technology.





What We Are Looking For

The ideal candidate is:

- Highly independent
- Strong technically
- Product-oriented
- Comfortable working from high-level requirements
- Able to make architecture decisions
- Strong at problem solving
- Comfortable with AI technologies
- Security-conscious
- Cost-conscious
- Good at documenting technical decisions
- Comfortable working remotely
- Able to build production-ready systems
- Comfortable working with APIs and managed services
- Able to eventually lead additional developers

What This Role Is NOT

This is not a position for someone who only:

- Develops frontend screens from provided designs
- Waits for detailed technical instructions
- Works only on isolated tickets
- Requires a large engineering team to complete tasks
- Builds everything from scratch without considering managed services
- Has limited experience integrating AI
- Has no experience with system architecture

We need someone who can take ownership.

Initial MVP Scope

The first version is expected to include capabilities around:

- Professional user profiles
- CV/profile management
- Document/credential management
- Verification foundations
- AI profile analysis
- AI CV improvement
- Job-post analysis
- Candidate/job matching
- Skills-gap analysis
- AI career assistance
- AI interview preparation
- AI virtual interviewing
- Audio/video interview capabilities
- Interview scoring and recommendations
- Admin and analytics

The broader product roadmap will be disclosed to the selected candidate following NDA execution.

Important Confidentiality Requirement

Because this is a new and commercially sensitive product, the successful candidate will be required to sign an NDA and appropriate intellectual-property/confidentiality agreements before receiving detailed product specifications, business strategy, proprietary workflows, data models and other confidential information.

All project source code, architecture, documentation, intellectual property and related deliverables will be owned by the client/project entity in accordance with the final contractual agreement.

Engagement Structure

Part-Time: 20–25 hours per week

Initial term: 6 months

Potential: Long-term / expanded engagement based on performance and project requirements.

The role can be performed remotely.

The candidate should be available for regular communication with the product owner and be capable of managing their own development priorities.

Application Requirements

Please submit:

1. Updated CV/resume
2. GitHub or portfolio link
3. Examples of AI-powered products you have built
4. Examples of SaaS platforms you have architected or developed
5. Examples of API/third-party integrations
6. Experience with voice/video/computer vision, if applicable
7. Your preferred hourly or monthly part-time rate
8. Weekly availability
9. Expected start date
10. Brief explanation of how you would approach building an AI-powered interview platform from MVP to production

📌 Senior Technical Lead / Founding Product Engineer – AI Platform (Hyderabad)
🏢 PrimeTalentBridge
📍 Hyderabad