Chief Technology Officer in Bristol

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.

We encourage candidates from all backgrounds to apply, regardless of race, gender identity, sexual orientation, religious beliefs, age or other experiences.

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