At a Glance
- Tasks: Design and deploy AI-driven systems while integrating cutting-edge AI platforms.
- Company: Join a forward-thinking tech company in the heart of London.
- Benefits: Enjoy competitive pay, hybrid work, and opportunities for travel across the UK.
- Other info: Dynamic role with great potential for career advancement and skill development.
- Why this job: Be at the forefront of AI technology and make a real difference in enterprise solutions.
- Qualifications: Experience in AI engineering and cloud-native development is a must.
The predicted salary is between 60000 - 80000 € per year.
Seeking a hands-on AI Native Software Engineer to design, build, and deploy production-grade AI-driven systems within enterprise environments. The role focuses on implementing agent-based workflows, integrating AI platforms, and delivering scalable cloud-native solutions.
Responsibilities
- AI Agent Engineering
- Design and implement AI agents, including:
- Retrieval (RAG)
- Orchestration workflows
- Tool/function invocation
- Policy-based routing
- Build evaluation frameworks for accuracy, latency, and reliability
- Implement observability and monitoring for agent lifecycle
- AI Platform Integration
- Integrate with AI providers (e.g., OpenAI, Anthropic, Google Vertex, open-source models)
- Build abstraction layers to support multi-model and multi-provider architectures
- Optimize model usage for performance, cost, and latency
- Cloud-Native Development
- Develop scalable services using:
- Microservices architecture
- Containers (Docker, Kubernetes)
- Serverless and event-driven patterns
- Implement CI/CD pipelines and infrastructure
AI Native Software Engineer in London employer: Skilliantech
As an AI Native Software Engineer in London, you will join a forward-thinking company that prioritises innovation and employee development. With a hybrid work model and opportunities for travel across the UK, you will benefit from a collaborative work culture that encourages creativity and professional growth, while also enjoying competitive remuneration and a commitment to work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land AI Native Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues 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 AI projects, especially those involving agent-based workflows or cloud-native solutions. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI integration and cloud development, and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a better chance of landing that dream role.
We think you need these skills to ace AI Native Software Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Native Software Engineer role. Highlight your experience with AI-driven systems, cloud-native development, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects:If you've worked on any cool projects related to AI or software engineering, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see what you've built and how it relates to the role.
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 gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Skilliantech
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI. Be ready to discuss your experience with AI agents, retrieval-augmented generation (RAG), and orchestration workflows. Showing that you’re up-to-date will impress them!
✨Showcase Your Cloud Skills
Since the role involves cloud-native development, be prepared to talk about your experience with microservices, Docker, and Kubernetes. Have examples ready that demonstrate how you've built scalable services in the past.
✨Demonstrate Problem-Solving Abilities
They’ll want to see how you tackle challenges. Think of specific instances where you’ve implemented observability and monitoring for AI systems or optimised model usage. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Ask Smart Questions
Prepare insightful questions about their current AI projects or the tools they use. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you. Plus, it’s a great way to engage with your interviewers!
