At a Glance
- Tasks: Design and deploy AI-driven systems, integrating cutting-edge technologies.
- Company: Join a forward-thinking tech company in London with a collaborative spirit.
- Benefits: Competitive salary, health benefits, remote work flexibility, and growth opportunities.
- Other info: Dynamic role with travel opportunities and excellent career progression.
- Why this job: Be at the forefront of AI innovation and make a real 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
Travel: 50-75% (Colocate with team for 1 to 2 weeks then 1 to 2 weeks home office) – also be open to very occasional potential European travel
Contract Duration: Through to September 2026
Overview
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 (Contractor-Specific)
- 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)
AI Software Developer in City of London employer: Guidant Global
As an AI Software Developer in London, you will join a dynamic team that fosters innovation and collaboration, offering a unique blend of hands-on engineering and strategic design. With a strong emphasis on employee growth, the company provides opportunities for continuous learning and development, alongside a flexible work culture that balances onsite collaboration with remote work. The role not only allows you to work with cutting-edge AI technologies but also offers the chance to travel occasionally across Europe, enhancing both your professional experience and personal growth.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Developer in City of London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or tech conferences. You never know who might be looking for someone with your skills, and a friendly chat can lead to job opportunities.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those related to AI and cloud-native systems. Having tangible examples of your work can really impress potential employers and set you apart from the crowd.
✨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 AI Software Developer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI-driven systems and cloud-native development. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 perfect fit for our team. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills:Be specific about your technical expertise in your application. Mention your experience with Python, Java, and any AI platforms you've worked with. We’re looking for hands-on experience, so let us know what you’ve built!
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 Guidant Global
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI platforms and agent-based workflows. Be ready to discuss your experience with tools like OpenAI or Google Vertex, and how you've integrated them into production systems.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities, especially in Python or Java. You might be asked to solve a problem on the spot, so practice coding challenges that relate to cloud-native development and microservices.
✨Understand Cloud-Native Concepts
Familiarise yourself with concepts like CI/CD pipelines, Docker, and Kubernetes. Be prepared to explain how you've used these technologies in past projects and how they contribute to scalable solutions.
✨Ask Insightful Questions
Come armed with questions about the company's AI strategies and their approach to integrating AI systems. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
