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For Companies At a Glance
- Tasks: Lead the technical direction of an AI-native Talent Acquisition platform.
- Company: Join a pioneering startup focused on transforming recruitment with AI.
- Benefits: Equity stake, flexible remote work, and potential for significant impact.
- Why this job: Be a co-founder and shape the future of talent acquisition technology.
- Qualifications: Senior-level engineering experience with strong skills in AI and SaaS platforms.
- Other info: Dynamic startup environment with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Location: Remote (UK / EU only)
Salary: Equity only (to start) - with vesting period. Commercial relationships to be discussed during interview 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 with end-to-end ownership experience
- Hands on execution responsibility
- 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.
Software Engineer in Glasgow employer: Future find
Contact Detail:
Future find Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who might know about opportunities at startups. A personal referral can make all the difference when you're aiming for that co-founder role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and SaaS platforms. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the interview process by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with APIs, cloud infrastructure, and AI systems in detail. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our mission to revolutionise talent acquisition.
We think you need these skills to ace Software Engineer in Glasgow
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight the skills and experiences that align with our job description. We want to see how your background fits into the role of a Senior Engineer at hdhnt!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Include specific examples of projects where you’ve designed APIs, worked with AI systems, or built scalable platforms. We love seeing hands-on experience!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon and make sure your key points stand out. This helps us understand your fit for the role quickly.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Future find
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical requirements listed in the job description. Brush up on your Python, FastAPI, and Node.js skills, and be ready to discuss your experience with REST and GraphQL APIs. The interviewers will want to see that you can not only talk the talk but also walk the walk.
✨Showcase Your Problem-Solving Skills
Prepare to tackle theoretical case studies during the interview. Think about how you would approach building AI-driven scoring systems or designing multi-tenant architectures. Practise explaining your thought process clearly, as this will demonstrate your ability to think critically and strategically.
✨Demonstrate Your Hands-On Experience
Be ready to share specific examples from your past work where you took ownership of a project or led a team. Highlight any experience you have with AWS infrastructure, CI/CD workflows, or model development. This will help the interviewers see that you have the practical skills needed for the role.
✨Communicate Clearly and Confidently
Since you’ll be working closely with non-technical founders and stakeholders, it’s crucial to communicate your ideas effectively. Practise explaining complex technical concepts in simple terms. This will show that you can bridge the gap between technical and non-technical discussions, which is key for a co-founder role.
