At a Glance
- Tasks: Design and deploy AI-driven systems, integrating cutting-edge AI platforms.
- Company: Dynamic tech company in London with a focus on innovation.
- Benefits: Competitive pay, hybrid work model, and opportunities for travel.
- Other info: Exciting career growth in a fast-paced, collaborative environment.
- Why this job: Join a team shaping the future of AI technology and make a real impact.
- Qualifications: Experience in AI engineering and cloud-native development required.
The predicted salary is between 60000 - 80000 € per year.
Location: London
Role Type: Contract and Permanent
Work Mode: Hybrid (2 or 3 days onsite) and 50-75% travel in the UK
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 as code
AI Native Software Engineer employer: Skilliantech
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture in the heart of London. With opportunities for professional growth and a commitment to employee well-being, you will thrive in an environment that encourages creativity and embraces cutting-edge technology. Enjoy the flexibility of hybrid working and the chance to travel across the UK while contributing to impactful AI-driven projects.
StudySmarter Expert Advice🤫
We think this is how you could land AI Native Software Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. 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 potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI integration. Practice common algorithms and system design questions that are relevant to the role.
✨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 an edge over other candidates.
We think you need these skills to ace AI Native Software Engineer
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 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 AI projects or have experience with tools like Docker or Kubernetes, make sure to mention them! We’re keen to see real examples of your work that demonstrate your skills and creativity.
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 Inside Out
Make sure you brush up on the latest trends and technologies in AI, especially those related to agent-based workflows and cloud-native solutions. Be ready to discuss your experience with AI platforms like OpenAI or Google Vertex, as well as any hands-on projects you've worked on.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities during the interview. You might be asked to solve problems on the spot, so practice coding challenges that involve microservices architecture and containerisation using Docker or Kubernetes. This will show them you're not just theory but also practical.
✨Understand the Business Impact
Be prepared to discuss how your work as an AI Native Software Engineer can drive business value. Think about examples where your AI solutions improved efficiency or reduced costs. This shows you understand the bigger picture and can align your technical skills with their business goals.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current AI projects, team dynamics, or how they measure success in AI implementations. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
