At a Glance
- Tasks: Design and build AI-driven systems, integrating cutting-edge technologies in a collaborative environment.
- Company: Join a forward-thinking tech company based in London with a dynamic culture.
- Benefits: Enjoy competitive pay, health perks, remote work flexibility, and growth opportunities.
- Other info: Hands-on role with excellent career advancement potential and occasional travel.
- Why this job: Make a real impact by developing innovative AI solutions that shape the future.
- Qualifications: 8-10 years of software engineering experience with strong cloud-native and AI system skills.
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 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 occasional travel across Europe, enhancing your professional experience in a vibrant city known for its tech advancements.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Developer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, conferences, or even online webinars. The more you engage with others, the better your chances of landing that AI Software Developer role.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving AI and cloud-native systems. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do!
✨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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Software Developer 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 engaging and personal – we love to see your personality come through.
Showcase Your Projects:If you've worked on any AI-driven systems or cloud-native applications, make sure to showcase them in your application. We want to see real examples of your work, so include links or descriptions that highlight your contributions and outcomes.
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 team!
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 implemented AI systems in production before.
✨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 cloud-native architectures, including containers and serverless patterns. Be prepared to explain how you've used CI/CD pipelines and infrastructure as code in your previous projects.
✨Be Ready for Technical Discussions
Since this role involves collaborating with engineering teams, be prepared to engage in technical design discussions. Think about how you can contribute to implementation-focused conversations and share your insights on optimising AI workloads.
