Co-Founder / CTO Opportunity – AI Tech Recruitment Start-Up

Manchester
10 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst Placement Programme

Data Analyst Placement Programme

Audio Machine Learning Engineer

Computer Vision and Artificial Intelligence Engineer

Data Analyst Placement Programme

Data Analyst Placement Programme

Equity-Based | Remote | Flexible Hours | Part-Time or full time.
Are you a Senior Full-Stack Developer / software engineer looking for something more than just a job? Become the Co-Founder & CTO of E-hive, an AI-powered recruitment start-up that’s reshaping how employers find talent — smarter, faster, and with less friction.
We're looking for a technical co-founder to join an early-stage startup called E-hive on an equity-only basis. This is a flexible role where you'll have full ownership of the tech side of the product, with the freedom to structure the technology as you see fit and work entirely on your own schedule. You can treat it as a side project at first, with the option to go full-time if things gain traction, or remain a silent technical partner if you prefer. As a founding member, you'll essentially be investing your skills instead of capital, earning equity in return. You'll have the option to keep your shares in the company and reap dividends over time, or sell your shares and exit if the business performs well. This is a unique opportunity to build something meaningful from the ground up and share in its long-term success.
👋 About E-hive
I’m Fouzy Barahman, founder of E-hive and a recruitment professional with 8+ years in the industry, including running my own successful agency since 2019. I’ve seen where the bottlenecks are — and now we’re building the tech to fix them.
We’re initially focused on education recruitment, but the long-term scope includes tech, healthcare, finance, and beyond. The Figma designs are done, the roadmap is in place, and we’re ready to build.
🧠 What We're Building
Employers describe the role in plain English — e.g., “I need a Maths teacher with five years of experience” — and our AI system uses natural language processing and semantic search to return the best-fit candidates.
Think ChatGPT for CVs, but built for scale — using AI to parse, understand, and match talent beyond keyword searches.
👨‍💻 Your Role – Co-Founder & CTO
You’ll lead the tech build from the ground up — architecture, integrations, dev strategy, and all things engineering. You’ll have the freedom to shape the platform how you see fit, with full co-founder influence. we are looking for software engineers, developers, CTO, technical lead etc. as long as you can build as you will be the sole developer to start off with
🛠️ Tech Stack (Flexible)
Below are the technologies I think make sense for our MVP — but as CTO/Co-Founder, it’s entirely your call. If you believe there's a better approach, you have full autonomy to choose the stack that works best.
Suggested Tech (Totally Flexible):


  • Frontend: React.js, Next.js, TypeScript, Tailwind CSS

  • Backend: Node.js, Express, Python (FastAPI / Flask / Django)

  • Database: PostgreSQL, MongoDB, Redis

  • Cloud/Infra: AWS, GCP, Docker, GitHub Actions, CI/CD

  • AI/NLP: OpenAI API, LangChain, Hugging Face, Elasticsearch, Pinecone

  • Others: REST, GraphQL, Figma (for design handoff), Vector DBs, Celery, Kafka

No need to build AI from scratch — we’ll leverage third-party APIs like OpenAI and Hugging Face. The goal is to build a scalable, intelligent product that can evolve over time.
⚡ What’s In It for You?


  • Equity in a promising, scalable tech start-up

  • True ownership — make key tech decisions and shape the product

  • Flexible entry — start part-time around your current job

  • Exit options — go full-time, become a silent partner, or exit with equity

📩 Interested?
Let’s chat. I’ll happily share the pitch deck and demo what we’re working on, and you decide if its for you or not, but you wont be disappointed (guranteed)
Find me — Fouzy Barahman — on LinkedIn (listed under E-hive). CV Library doesn’t support links, but I’ll pop up in search. or simply apply for this role so i can call you back.
This is a rare chance to shape a product from the ground up with a founder who understands the space — and to build something truly game-changing with AI

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.