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: Enjoy competitive pay, health perks, remote work options, 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 Native Software Engineer in London employer: Guidant Global
As an AI Native Software Engineer in London, you will thrive in a dynamic and innovative environment that champions cutting-edge technology and collaborative teamwork. Our company offers a flexible work culture with a blend of on-site and remote opportunities, ensuring a healthy work-life balance while fostering professional growth through continuous learning and exposure to the latest AI advancements. Join us to be part of a forward-thinking team that values creativity, diversity, and the pursuit of excellence in delivering impactful AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Native Software Engineer in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, tech conferences, or even local events. The more people you know, the better your chances of landing that AI Native Software Engineer role.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving AI and cloud-native systems. Share your GitHub or personal website when networking or during interviews to demonstrate your hands-on experience.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding AI platforms. Practice common interview questions related to agent-based workflows and cloud-native development to impress your potential employers.
✨Apply Through Our Website
Don’t forget to check out our website for job openings! Applying directly through us can give you an edge, as we love seeing candidates who are proactive and engaged with our community.
We think you need these skills to ace AI Native Software Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Native Software Engineer 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 perfect 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 mention them in your application. We’re keen to see real examples of your work, so don’t hold back on sharing your achievements!
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 follow the prompts and submit your materials!
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 integrated AI systems in the past. This will show that you're not just familiar with the theory but have practical skills to back it up.
✨Showcase Your Cloud-Native Skills
Since the role focuses heavily on cloud-native development, be prepared to talk about your experience with microservices, containers, and serverless architectures. Bring examples of projects where you've implemented CI/CD pipelines or used infrastructure as code tools like Terraform. This will demonstrate your technical prowess.
✨Prepare for Technical Questions
Expect some deep dives into your coding skills, especially in Python or Java. Practice coding challenges related to AI systems and be ready to explain your thought process. This is your chance to shine, so don’t shy away from showcasing your problem-solving abilities!
✨Cultural Fit Matters
Research the company culture and values. Be ready to discuss how you can contribute to the team dynamics, especially since this role involves collaboration with both internal and client engineering teams. Showing that you’re a team player who aligns with their values can set you apart from other candidates.
