Artificial Intelligence Engineer

Artificial Intelligence Engineer

Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and implement AI-driven features across the full stack in a fast-paced startup.
  • Company: Exciting early-stage tech startup focused on innovative AI products.
  • Benefits: Flexible hybrid work, generous equity, competitive salary, and high ownership.
  • Why this job: Join a dynamic team and shape the future of AI technology.
  • Qualifications: 2-3 years of engineering experience with TypeScript and Node.js.
  • Other info: Fast learning environment with opportunities for growth and innovation.

The predicted salary is between 36000 - 60000 £ per year.

A fast-growing early-stage technology startup is building AI-driven products that power data-heavy workflows across digital platforms. The team operates with high ownership, fast iteration cycles, and a strong engineering culture focused on shipping meaningful features into production.

They are now hiring a Founding Engineer to take end-to-end ownership of features across the full stack, contribute to AI-powered workflows, and help shape the technical architecture as the platform scales. This role suits someone who enjoys autonomy, moving quickly, and working across product, engineering, and experimentation in a startup environment.

The Role

You’ll design and implement production-grade features from initial concepts and designs through to deployment. Working across backend and frontend systems, you’ll help build intelligent workflows using modern AI tooling, contribute to cloud infrastructure and CI/CD pipelines, and experiment with emerging technologies in data engineering and machine learning.

You’ll have meaningful influence over architecture, tooling, and product direction while operating in a highly collaborative, early-stage team.

What You’ll Be Doing

  • Product Architecture and Delivery
    • Translate project briefs and product designs into technical architecture and implementation plans.
    • Own features end-to-end across backend and frontend through to production release.
    • Contribute to system design decisions as the platform scales.
  • AI and Intelligent Workflows
    • Build AI-driven features including agent-based workflows and embedding-driven matching systems.
    • Experiment with LLM-powered tools and apply them to real production use cases.
    • Design and optimise vector search and embedding pipelines to power semantic search, recommendation, and Retrieval-Augmented Generation (RAG) systems.
    • Architect and implement agentic AI systems capable of planning, reasoning, tool use, and autonomous task execution.
    • Explore new approaches in automation, search, and data enrichment.
  • Deployment and Engineering Excellence
    • Improve and maintain CI/CD pipelines to enable fast, reliable releases.
    • Contribute to cloud deployments and operational stability.
    • Promote engineering best practices across testing, monitoring, and code quality.
  • Experimentation and Innovation
    • Run technical experiments in data engineering, infrastructure, and AI.
    • Prototype and validate new technologies before moving them into production.
    • Continuously improve developer experience and delivery velocity.
  • Ownership and Collaboration
    • Operate across the full technical stack in a high-autonomy environment.
    • Collaborate closely with product and business stakeholders.
    • Take responsibility for delivery quality and system performance.

Core Experience

  • 2–3 years of hands-on engineering experience or equivalent project-based experience demonstrating ownership and impact.
  • Strong commercial experience with TypeScript and Node.js.
  • Experience delivering production features across backend and frontend systems.

Mindset and Attributes

  • Comfortable operating in ambiguous, fast-moving environments.
  • Highly organised, proactive, and delivery focused.
  • Strong problem-solving skills and appetite for learning.
  • Excited about applying AI and LLM-powered tools to real-world workflows.
  • Thrives with autonomy and responsibility.

Bonus Experience

  • Exposure to AWS serverless or event-driven architectures.

Flexible hybrid working model

  • Generous Equity
  • High ownership and autonomy
  • Opportunity to influence architecture and product direction
  • Fast learning environment with exposure to AI and modern cloud tooling
  • Competitive compensation and early-stage growth opportunity

Interview Process

  • Short introductory call
  • In-person technical challenge and interview

Artificial Intelligence Engineer employer: SR2 | Socially Responsible Recruitment | Certified B Corporation

Join a dynamic early-stage technology startup in London, where you'll have the opportunity to take on significant ownership and influence over AI-driven products that enhance data-heavy workflows. With a flexible hybrid working model, generous equity options, and a culture that prioritises fast iteration and collaboration, this role offers a unique chance for personal and professional growth in a fast-paced environment focused on innovation and meaningful impact.
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Contact Detail:

SR2 | Socially Responsible Recruitment | Certified B Corporation Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Artificial Intelligence Engineer

✨Tip Number 1

Network like a pro! Reach out to people in the AI and tech space, especially those who work at startups. Use platforms like LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings!

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving AI and full-stack development. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for technical interviews by practicing coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills. Being well-prepared will boost your confidence and help you ace those interviews!

✨Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about AI and tech. Your dream job could be just a click away, so make sure to check out our latest openings!

We think you need these skills to ace Artificial Intelligence Engineer

Full-Stack Development
AI-driven Feature Development
Cloud Infrastructure
CI/CD Pipelines
Data Engineering
Machine Learning
TypeScript
Node.js
Production Deployment
System Design
Vector Search Optimization
Embedding Pipeline Design
Agentic AI Systems Architecture
Problem-Solving Skills
Collaboration Skills

Some tips for your application 🫡

Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and technology shine through. We want to see how excited you are about building intelligent workflows and experimenting with new tools. Share any relevant projects or experiences that highlight your passion!

Tailor Your Application: Make sure to customise your application to fit the role of Founding Engineer. Highlight your experience with TypeScript, Node.js, and any full-stack projects you've worked on. We love seeing how your skills align with our needs, so don’t hold back!

Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your experience and skills are easy to understand. Use bullet points if it helps, and don’t forget to proofread for any typos!

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 the role. Plus, it shows you’re keen on joining our team at StudySmarter!

How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation

✨Know Your Tech Stack

Make sure you’re well-versed in TypeScript and Node.js, as these are crucial for the role. Brush up on your knowledge of AI-driven features and how they integrate with full-stack development. Being able to discuss specific projects where you've used these technologies will definitely impress.

✨Showcase Your Problem-Solving Skills

Prepare to discuss past challenges you've faced in engineering and how you tackled them. Think about examples where you had to innovate or experiment with new technologies, especially in data engineering or AI. This will demonstrate your proactive mindset and ability to thrive in fast-moving environments.

✨Understand the Company Culture

Research the startup's mission and values. Be ready to explain why you’re excited about working in a high-autonomy environment and how you can contribute to their engineering culture. Showing that you align with their focus on ownership and collaboration will set you apart.

✨Prepare for Technical Challenges

Expect a technical challenge during the interview process. Practice coding problems that involve both backend and frontend systems. Familiarise yourself with CI/CD pipelines and cloud deployments, as these are key aspects of the role. Being prepared will help you feel more confident and showcase your skills effectively.

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