Full-Stack Engineer: Build the AI Trust Layer

Full-Stack Engineer: Build the AI Trust Layer

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build AI-driven software solutions and define innovative features for testing and quality assurance.
  • Company: Duku AI, a forward-thinking tech company in Greater London.
  • Benefits: Competitive salary, flexible work options, and opportunities for rapid career growth.
  • Other info: Fast-paced environment with a focus on innovation and collaboration.
  • Why this job: Join us to shape the future of software development with cutting-edge AI technology.
  • Qualifications: Experience in full-stack development and a passion for AI and product outcomes.

The predicted salary is between 70000 - 90000 £ per year.

Duku AI in Greater London is seeking a Full Stack Software Engineer to play a key role in building trust in AI-driven software solutions. This position offers the opportunity to ship products at a rapid pace and define new features that leverage AI for testing and quality assurance.

The ideal candidate will thrive in a fast-paced environment, be experienced in AI/LLMs, and be driven by product outcomes rather than outputs. Join Duku AI to help shape the future of software development.

Full-Stack Engineer: Build the AI Trust Layer employer: Duku AI

Duku AI is an exceptional employer located in the vibrant tech hub of Greater London, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from rapid product development cycles, ample opportunities for professional growth, and the chance to work on cutting-edge AI technologies that are shaping the future of software solutions. Join us to be part of a forward-thinking team where your contributions directly impact the evolution of AI-driven applications.

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Contact Details:

Duku AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Full-Stack Engineer: Build the AI Trust Layer

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Duku AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Duku AI.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Duku AI.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Duku AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Full-Stack Engineer: Build the AI Trust Layer

Full Stack Development
AI/LLMs Experience
Product Development
Quality Assurance
Rapid Product Shipping
Feature Definition
Fast-Paced Environment Adaptability

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Duku AI.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Duku AI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Duku AI

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Duku AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.