At a Glance
- Tasks: Design and deploy AI-driven systems, integrating cutting-edge technologies in a collaborative environment.
- Company: Join a forward-thinking tech company in the heart of London.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Hands-on role with excellent career advancement potential.
- Why this job: Be at the forefront of AI innovation and make a real impact in enterprise solutions.
- Qualifications: 8-10 years in software engineering with strong cloud-native and AI system experience.
The predicted salary is between 80000 - 100000 € 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
- Testing & Performance
- Define and execute test strategies for AI systems
- Measure system performance (latency, throughput, accuracy, cost)
- Debug and optimize production systems
Required Skills & Experience
- 8–10+ years of software engineering experience
- Strong experience with cloud-native systems (APIs, microservices, containers, serverless)
- Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration)
- Proficiency in Python, Java, or similar backend languages
- Experience with:
- CI/CD pipelines
- Infrastructure as code
- Monitoring and observability tools
- Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)
Preferred Experience
- Experience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI)
- Experience designing multi-agent or distributed AI systems
- Familiarity with enterprise-scale system integration
- Experience optimizing AI workloads for cost and performance
Scope & Expectations
- 100% hands-on engineering role (no people management)
- Deliver production-quality code and deployments
- Work within existing architecture and engineering standards
- Collaborate with client and internal engineering teams as needed
- Participate in technical design discussions (implementation-focused)
Artificial Intelligence Engineer in London employer: Soho Square Solutions
As an AI Engineer at our London-based company, you will thrive in a dynamic hybrid work environment that fosters innovation and collaboration. We prioritise employee growth through continuous learning opportunities and a supportive culture that encourages creativity and problem-solving. With access to cutting-edge technology and a focus on impactful projects, you'll be part of a team dedicated to shaping the future of AI-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in London
✨Network Like a Pro
Get out there and connect with people in the AI field! Attend meetups, webinars, or industry events. You never know who might have a lead on your dream job or can give you insider tips.
✨Show Off Your Skills
Create a portfolio showcasing your AI projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to demonstrate your hands-on experience with AI systems and cloud-native development.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Our Website
Don’t forget to check out our job listings on the StudySmarter website! Applying directly through us can give you an edge, as we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Artificial Intelligence Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with cloud-native systems, AI platforms, and any relevant projects you've worked on. We want to see how your skills align with 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 concise but engaging – we love a good story!
Showcase Your Projects:If you've worked on any AI-driven systems or cloud-native applications, make sure to mention them in your application. We’re keen to see real-world examples of your work, so don’t hold back on the details!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter family!
How to prepare for a job interview at Soho Square Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially those mentioned in the job description like OpenAI and Google Vertex. Be ready to discuss your hands-on experience with agent-based workflows and how you've implemented them in past projects.
✨Show Off Your Coding Skills
Since this role is all about hands-on engineering, be prepared to demonstrate your coding skills. Bring examples of your work with Python or Java, and if possible, have a small project ready to showcase your ability to build scalable cloud-native solutions.
✨Talk CI/CD and Infrastructure as Code
Familiarise yourself with CI/CD pipelines and infrastructure as code tools like Terraform and Helm. Be ready to explain how you've used these in previous roles to ensure production readiness and optimise deployments.
✨Prepare for Technical Discussions
This role involves collaborating with various teams and participating in technical design discussions. Think about how you can contribute to these conversations and be ready to share your insights on multi-agent systems and performance optimisation strategies.
