Title: Co-Founder / Fractional Chief Technology Officer
Location: Remote (UK / EU only)
Salary: Equity only (to start) - with vesting period
Platform: AI-Native Talent Intelligence Platform
Stage: Early product (working demo MVP) with live AWS infrastructure and AI workflows in place
The Role
We are recruiting for our sister business 'hdhnt', this is an AI-native Talent Acquisition platform designed around deep candidate analysis, structured evaluation, and intelligent matching. Our mission is to build a tool which allows hiring companies to successfully source candidates directly, and alleviate the need for external recruitment agencies.
The technical foundations already exist: cloud infrastructure, LLM pipelines, scoring logic, and multi-tenant architecture, these have been built through use of contractors to date. We are looking for a hands-on Technical Co-Founder / CTO to take full ownership of the platform’s technical direction, architecture, and execution as we scale from early product to category-defining system.
Core Responsibilities
* Own the end-to-end technical architecture across backend, AI systems, data, and infrastructure
* Lead development of AI-driven scoring, ranking, and decision systems
* Design and evolve advanced search and retrieval systems beyond keyword matching
* Build and scale API-first, multi-tenant backend services
* Lead development of video, voice, and interview analysis tooling within the platform
* Drive the transition from third-party LLM usage toward custom and fine-tuned models
* Ensure platform security, data protection, and GDPR-aligned system design
* Establish engineering standards, CI/CD workflows, and operational best practices
* Act as technical counterpart to product, commercial, and investor conversations
* Manage technical / dev responsibility for any contractor arrangements in place.
Technical Requirements
Backend & APIs
* Strong experience designing REST and/or GraphQL APIs for production SaaS platforms
* Advanced proficiency in Python (FastAPI) and/or Node.js (TypeScript / NestJS)
* Deep understanding of multi-tenant system design, permissions, and role-based workflows
* Event-driven architectures using webhooks, queues, and async processing
AI, Search & Data Systems
* Hands-on experience integrating LLM APIs (OpenAI-compatible or equivalent)
* Design and implementation of scoring, ranking, and weighted evaluation systems
* Experience with vector search, embeddings, and semantic retrieval
* Practical use of RAG architectures, prompt pipelines, and structured outputs
* Strong understanding of model evaluation, explainability, and output validation
Model Development
* Experience with fine-tuning or training models (open-source or proprietary)
* Understanding of model lifecycle management, data pipelines, and inference optimisation
* Familiarity with moving from API-based LLMs to self-hosted or private models
Video, Voice & Media Processing
* Experience working with video, audio, or real-time communication systems
* Familiarity with speech-to-text, audio processing, or conversational AI pipelines
* Comfort designing systems that support AI analysis of recorded interactions
Cloud & Infrastructure
* Strong experience with AWS-based SaaS platforms, including:
* ECS Fargate
* Application Load Balancers
* IAM, KMS, Secrets Manager
* CloudWatch logging and alerting
* Infrastructure-as-Code using Terraform
* Secure, scalable deployment and environment management
* CI/CD pipelines, automated testing, and release workflows
Experience & Profile
* Senior-level engineer or technical founder with end-to-end ownership experience
* Proven track record building or scaling production SaaS platforms
* Comfortable operating across architecture, hands-on coding, and strategic decisions
* Strong product intuition with an ability to translate abstract requirements into systems
* Experience working in early-stage or high-ownership environments
* Clear communicator capable of partnering closely with a non-technical founder
Nice to Have
* Prior experience as a founder, early CTO, or lead architect
* Background in search, recommendation systems, or decision engines
* Experience with regulated or sensitive data environments
* Familiarity with recruitment, HR tech, or workflow-driven SaaS platforms
* Experience building internal admin tools and operational dashboards
There will be a multi-stage interview process including theoretical case study and technical assessment. If you would like to find out more, please apply below.
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We encourage candidates from all backgrounds to apply, regardless of; race, gender identity, sexual orientation, religious beliefs, age or other experiences.