Jobs in Stevenage, United Kingdom

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

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.

• 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.

• 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

• 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

• 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

• 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

• 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

• 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

• 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.