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For Companies At a Glance
- Tasks: Build AI applications and collaborate with a talented team to solve real-world problems.
- Company: Join a dynamic tech company shaping the future of AI-driven software.
- Benefits: Competitive salary, performance bonuses, and flexible hybrid working arrangements.
- Why this job: Make a real impact by working on innovative AI products from concept to production.
- Qualifications: 2-5 years of software engineering experience and strong full-stack skills.
- Other info: Hands-on involvement in product development with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
If you are passionate about AI and full‑stack development—and want to build products that solve complex, real‑world problems—this role offers the chance to work hands‑on across the entire technology stack while shaping the future of AI‑driven software.
About the Role
You will join a small, highly capable engineering team building AI‑powered applications for knowledge‑intensive industries. The work is varied, impactful, and fast‑moving. You will take features from concept to production, collaborating closely with data scientists, founders, and end users.
Key Responsibilities
- Build and enhance production AI applications using Python, TypeScript, and modern front‑end frameworks.
- Develop responsive, intuitive interfaces using React and Tailwind CSS.
- Design and maintain scalable database schemas using Supabase or PostgreSQL.
- Work with LLM frameworks such as LangChain or LlamaIndex.
- Integrate vector databases, embeddings, and AI‑enhanced capabilities into core workflows.
- Use AI‑assisted development tools as a standard part of your engineering practice.
Infrastructure & Deployment
- Deploy and maintain applications on platforms such as AWS, Vercel, or Railway.
- Manage version control and CI/CD pipelines through GitHub.
- Implement monitoring and observability using tools like DataDog.
Collaboration & Product Thinking
- Work closely with internal stakeholders to refine features and improve usability.
- Contribute to architectural decisions and long‑term technical direction.
- Own problems from end to end, taking responsibility for high‑quality outcomes.
About You
- 2–5 years of professional software engineering experience.
- Experience working on complex applications as part of a team.
- Strong full‑stack capability across TypeScript, React, Python, and modern databases.
- Hands‑on experience with AI/ML tooling and frameworks.
- Proficiency with Git‑based workflows and cloud deployment environments.
- Strong communication skills and the ability to work with technical and non‑technical stakeholders.
- Self‑directed, proactive, and comfortable working in a small, fast‑moving team.
What You’ll Gain
- The opportunity to help shape products at an early stage of their development.
- Hands‑on involvement across the full product lifecycle.
- Direct collaboration with founders and domain experts.
- A competitive salary with performance‑based bonuses.
- Flexibility through hybrid working arrangements.
Artificial Intelligence Engineer employer: Resourgenix - United Kingdom
Contact Detail:
Resourgenix - United Kingdom 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 software engineering space, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, TypeScript, and AI applications. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and full-stack development. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing passionate candidates who are eager to join our team. Tailor your application to highlight your experience with AI/ML tooling and collaborative projects.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and full-stack development shine through. We want to see how your passion aligns with our mission to build impactful AI-driven products.
Tailor Your Experience: Make sure to highlight your relevant experience in software engineering, especially with Python, TypeScript, and modern frameworks. We love seeing how your skills can contribute to our team and the projects we tackle.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make it easy for us to understand your qualifications and what you bring to the table.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with StudySmarter.
How to prepare for a job interview at Resourgenix - United Kingdom
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, TypeScript, and React. Brush up on your knowledge of AI/ML frameworks too, as they’ll likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built or enhanced applications. Highlight your role in taking features from concept to production, and be ready to explain how you collaborated with others to achieve high-quality outcomes.
✨Understand the Company’s Vision
Research the company’s products and their impact on knowledge-intensive industries. Be prepared to discuss how your skills can contribute to their mission and how you envision shaping the future of AI-driven software.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the team dynamics. Inquire about the challenges they face in AI application development or how they approach collaboration between technical and non-technical stakeholders.
