At a Glance
- Tasks: Design and build AI-driven systems, integrating cutting-edge technologies.
- Company: Join a forward-thinking tech company in London with a collaborative spirit.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and excellent career advancement potential.
- Why this job: Be at the forefront of AI innovation and make a real impact in tech.
- 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)
Software Developer (AI Developer) employer: Guidant Global
As a leading employer in the tech industry, we offer an innovative work culture that fosters creativity and collaboration among our teams. Located in London, our company provides exceptional growth opportunities for software developers, particularly in AI, with access to cutting-edge technologies and the chance to work on impactful projects. Our flexible working arrangements, including a mix of office and home-based work, along with occasional travel, ensure a balanced and rewarding work experience.
StudySmarter Expert Advice🤫
We think this is how you could land Software Developer (AI Developer)
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, tech conferences, or even local coding events. The more people you know, the better your chances of landing that dream job.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those related to AI and cloud-native development. Share it on platforms like GitHub and make sure it's easy for potential employers to see what you can do!
✨Ace the Interview
Prepare for technical interviews by practicing coding challenges and system design questions. Don’t forget to brush up on your knowledge of AI platforms and cloud technologies – they’ll likely come up!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying directly through us not only gives you a better chance but also keeps you in the loop about new opportunities tailored to your skills!
We think you need these skills to ace Software Developer (AI Developer)
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 like OpenAI and Google Vertex. Be ready to discuss your hands-on experience with AI-driven systems and how you've implemented agent-based workflows in the past.
✨Showcase Your Cloud-Native Skills
Prepare to talk about your experience with cloud-native development, especially using microservices, containers, and serverless architectures. Have examples ready that demonstrate your ability to build scalable services and implement CI/CD pipelines.
✨Be Ready for Technical Questions
Expect technical questions that dive deep into your coding skills, particularly in Python or Java. Practice explaining your thought process while solving problems, as this will show your analytical skills and how you approach software engineering challenges.
✨Demonstrate Collaboration
Since this role involves working closely with teams, be prepared to discuss how you've collaborated with others in previous projects. Highlight any experiences where you participated in technical design discussions or worked within existing architecture standards.
