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 vibe.
- 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)
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 a supportive environment that encourages continuous learning. With flexible working arrangements and the chance to engage in exciting projects across Europe, we are committed to ensuring our employees find meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Software Developer (AI Developer)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, GitHub contributions, or any relevant work. This gives employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key!
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're genuinely interested in joining our team. Don't miss out on the chance to land that dream job!
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 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 focus on cloud-native development and microservices.
✨Understand the Role's Responsibilities
Familiarise yourself with the specific responsibilities listed in the job description. Be prepared to talk about your experience with CI/CD pipelines, infrastructure as code, and how you've ensured production readiness in past projects.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team dynamics, project expectations, and the company's approach to AI integration. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
