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

CV-Library
Manchester, Greater Manchester
13 months ago
Applications closed

Related Jobs

View all jobs

Computational Protein Designer

Latent Labs London, United Kingdom, United Kingdom
Hybrid

Computer Vision Engineer

Faculty AI London, United Kingdom
£40,000 – £70,000 pa Hybrid Clearance Required

Commercial Data Scientist

Synthesia London, United Kingdom
Remote

Controls Engineer

Ocado United Kingdom

Controls Engineer

Ocado United Kingdom

Contractors - FPGA Engineers

Cambridge Consultants United Kingdom
Posted
11 Apr 2025 (13 months ago)

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

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.