At a Glance
- Tasks: Design and build AI-driven systems, integrating cutting-edge technologies in a hands-on role.
- Company: Dynamic tech company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible hybrid work, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on hands-on engineering and innovation.
- Why this job: Join a team shaping the future of AI with real-world impact.
- Qualifications: 8-10 years in software engineering with strong cloud-native and AI experience.
The predicted salary is between 80000 - 100000 € per year.
Location: London Area – Hybrid - 3 Days in 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)
Remote engineer in City of London employer: Soho Square Solutions
As a leading employer in the tech industry, we offer an innovative and collaborative work culture that empowers our AI Engineers to thrive. With a hybrid working model in the vibrant London area, employees benefit from flexible arrangements while engaging in cutting-edge projects that drive their professional growth. Our commitment to employee development, coupled with competitive compensation and a focus on work-life balance, makes us an exceptional choice for those seeking meaningful and rewarding careers in AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Remote engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those in AI and cloud-native development. Attend meetups or webinars to get your name out there and make some valuable contacts.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI systems and cloud-native solutions. 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 knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your experience with AI platforms and microservices architecture.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our team!
We think you need these skills to ace Remote engineer in City of 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 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 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 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 platforms and agent-based workflows. Be ready to discuss your hands-on experience with tools like OpenAI or Google Vertex, and how you've implemented AI-driven systems in the past.
✨Showcase Your Coding Skills
Prepare to demonstrate your proficiency in Python, Java, or similar languages. You might be asked to solve coding problems or discuss your previous projects, so have examples ready that highlight your cloud-native development experience.
✨Understand Cloud-Native Concepts
Familiarise yourself with microservices architecture, containers, and CI/CD pipelines. Be prepared to explain how you've used these technologies in your previous roles, especially in relation to building scalable services.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI strategies, team dynamics, and project expectations. This shows your genuine interest and helps you assess if the role is the right fit for you.
