At a Glance
- Tasks: Design and deploy AI-driven systems, integrating with top AI platforms and developing scalable cloud-native solutions.
- Company: Join a forward-thinking tech company in the heart of London with a hybrid work model.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact in enterprise environments.
- Qualifications: Experience in AI engineering, cloud development, and strong problem-solving skills.
The predicted salary is between 60000 - 80000 € per year.
Location: London Area – Hybrid - 3 Days a week
Note: Candidates must have the right to work in the UK independently, as visa sponsorship is not available for this role.
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 (e.g., Terraform, Helm)
- Ensure production readiness, logging, monitoring, and fault tolerance
- Application Development
- Build and deploy AI-powered applications aligned to business workflows
- Integrate AI systems into existing enterprise platforms and APIs
- Develop backend services and APIs supporting agent workflows
Artificial Intelligence Engineer employer: Soho Square Solutions
As an AI Engineer at our London-based company, you will thrive in a dynamic and innovative work culture that prioritises collaboration and creativity. We offer competitive benefits, including flexible hybrid working arrangements, opportunities for professional development, and a commitment to fostering employee growth in the rapidly evolving field of artificial intelligence. Join us to be part of a forward-thinking team that values your contributions and supports your career aspirations.
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 field on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and any relevant work you've done. We recommend having a personal website where you can highlight your achievements and link to your GitHub for potential employers to check out.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and practical tests. We suggest doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented AI Engineers like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI 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 AI-driven projects or have experience with tools like Docker, Kubernetes, or CI/CD pipelines, make sure to mention them! We want to know 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’s super easy – just follow the prompts!
How to prepare for a job interview at Soho Square Solutions
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially those mentioned in the job description. Be ready to discuss your experience with AI agents, cloud-native development, and any specific platforms like OpenAI or Google Vertex.
✨Showcase Your Projects
Prepare to talk about your previous projects that align with the responsibilities of the role. Highlight your hands-on experience with microservices, Docker, and CI/CD pipelines. If possible, bring examples or even a portfolio to demonstrate your skills.
✨Ask Smart Questions
Interviews are a two-way street! Prepare insightful questions about the company's AI strategies, team dynamics, and the tech stack they use. This shows your genuine interest and helps you gauge if the company is the right fit for you.
✨Practice Problem-Solving
Expect technical questions or case studies during the interview. Practice solving problems related to AI agent engineering and cloud-native solutions. Being able to think on your feet will impress the interviewers and show your problem-solving skills.
