At a Glance
- Tasks: Design and deploy AI-driven systems, integrating cutting-edge technologies in a collaborative environment.
- Company: Join a forward-thinking tech company based in London with a focus on innovation.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a focus on hands-on engineering.
- Why this job: Be at the forefront of AI technology and make a real impact in enterprise solutions.
- 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)
Experienced AI Software Engineer employer: Guidant Global
As an Experienced AI Software Engineer in London, you will join a dynamic team that fosters innovation and collaboration, offering a unique blend of hands-on engineering and strategic design. The company prioritises employee growth through continuous learning opportunities and provides a flexible work culture that balances on-site collaboration with remote work, ensuring a supportive environment for personal and professional development. With competitive benefits and the chance to work on cutting-edge AI technologies, this role is perfect for those seeking meaningful and impactful contributions in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Experienced AI Software Engineer
✨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 an AI Software Engineer just like you!
✨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 to grab the attention of potential employers.
✨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.
✨Apply Through Us!
Don’t forget to check out our website for job openings. Applying directly through us can give you an edge, as we’re always on the lookout for talented individuals to join our team!
We think you need these skills to ace Experienced AI Software Engineer
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:When filling out your application, be specific about your technical expertise. Mention your experience with Python, Java, and any AI platforms you've worked with. We’re keen to know how you’ve tackled challenges in past projects!
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 agent-based workflows and how you've implemented them in past projects.
✨Showcase Your Cloud-Native Skills
Prepare to talk about your experience with cloud-native systems, especially microservices and containers. Have examples ready that demonstrate your ability to develop scalable services and implement CI/CD pipelines.
✨Be Ready for Technical Questions
Expect some deep dives into your technical skills, particularly around Python or Java. Practice explaining your thought process when building and deploying AI-driven systems, as well as how you measure performance and reliability.
✨Demonstrate Collaboration
Since this role involves working closely with teams, be prepared to discuss how you've collaborated with others in previous roles. Share specific examples of how you’ve contributed to technical design discussions and integrated AI systems into existing platforms.
