At a Glance
- Tasks: Design and deploy AI-driven systems in enterprise environments with cutting-edge technology.
- Company: Join a forward-thinking tech company in the heart of London.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Experience in AI engineering and cloud-native development is a plus.
The predicted salary is between 60000 - 80000 € per year.
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 life cycle
- AI Platform Integration
- Integrate with AI providers (eg, 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
Forward Deployed Engineers employer: Randstad Technologies
As a Forward Deployed Engineer in London, you will join a dynamic team that thrives on innovation and collaboration, offering a vibrant work culture that encourages creativity and professional growth. With access to cutting-edge AI technologies and a commitment to employee development, this role provides unique opportunities to work on impactful projects while enjoying the benefits of a supportive environment that values work-life balance and diversity.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineers
✨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-driven projects and cloud-native solutions. This is your chance to demonstrate what you can do beyond just a CV – let your work speak for itself!
✨Tip Number 3
Prepare for those interviews! Research common questions for Forward Deployed Engineers and practice your responses. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Forward Deployed Engineers
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 of a Forward Deployed Engineer, 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 to see your personality come through.
Showcase Your Technical Skills:In your application, be sure to mention specific technologies and methodologies you’ve worked with, like microservices, Docker, or Kubernetes. We’re looking for hands-on experience, so give us the details that demonstrate your expertise!
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 you’ll be all set!
How to prepare for a job interview at Randstad Technologies
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI technologies and platforms mentioned in the job description, like OpenAI and Google Vertex. Brush up on your knowledge of agent-based workflows and be ready to discuss how you've implemented similar systems in the past.
✨Showcase Your Cloud-Native Skills
Be prepared to talk about your experience with microservices, Docker, and Kubernetes. Have specific examples ready that demonstrate how you've developed scalable cloud-native solutions, as this will show you understand the core requirements of the role.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills. Think through scenarios where you had to optimise model usage for performance or cost, and be ready to explain your thought process clearly and logically.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects or challenges they face in AI integration. This not only shows your interest but also gives you a chance to demonstrate your understanding of the industry and the role.
