At a Glance
- Tasks: Design and build AI-driven systems, integrating platforms and developing scalable cloud-native solutions.
- 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 cutting-edge technology and career advancement.
- Why this job: Join a hands-on role to shape the future of AI technology in real-world applications.
- 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 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 C# Engineer in City of London employer: Soho Square Solutions
As a Remote C# Engineer at our innovative company, you will thrive in a dynamic hybrid work environment that fosters collaboration and creativity. We prioritise employee growth through continuous learning opportunities and a supportive culture that values your contributions. Located in the vibrant London area, we offer competitive benefits and the chance to work on cutting-edge AI projects that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Remote C# Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI or cloud-native systems. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI-driven systems or cloud-native development. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with microservices, CI/CD pipelines, and AI platforms. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented engineers like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Remote C# Engineer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a C# Engineer. Highlight your experience with cloud-native systems and AI platforms, as these are key for us. Use keywords from the job description to show you’re a perfect fit!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and software engineering, and explain how your skills align with our needs. Keep it concise but impactful – we want to see your personality!
Showcase Relevant Projects:If you've worked on any projects that involve AI or cloud-native development, make sure to mention them. We love seeing real-world applications of your skills, 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 for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Soho Square Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially C#, Python, and cloud-native systems. Brush up on your experience with microservices, containers, and CI/CD pipelines, as these will likely come up during technical discussions.
✨Showcase Your AI Experience
Prepare to discuss your hands-on experience with AI platforms like OpenAI or Google Vertex. Be ready to share specific examples of how you've designed and implemented AI agents or integrated AI systems into existing platforms. This will demonstrate your practical knowledge and problem-solving skills.
✨Demonstrate Problem-Solving Skills
Expect scenario-based questions that assess your ability to troubleshoot and optimise AI systems. Think of past challenges you've faced in production environments and how you resolved them. Highlight your approach to debugging and performance measurement.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
