At a Glance
- Tasks: Design and deploy AI-driven systems, integrating cutting-edge technologies in a hands-on role.
- Company: Join a forward-thinking tech company in London, focused on innovation.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Dynamic, hands-on role with excellent collaboration and career advancement opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact in enterprise environments.
- Qualifications: 8-10 years in software engineering with strong cloud-native and AI system experience.
The predicted salary is between 80000 - 100000 € 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 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)
Forward Deployed Engineers employer: Randstad Digital
As a Forward Deployed Engineer at our London office, you will be part of a dynamic and innovative team dedicated to pushing the boundaries of AI technology. We offer a collaborative work culture that fosters creativity and professional growth, alongside competitive benefits and opportunities to work on cutting-edge projects in a vibrant city known for its tech advancements. Join us to make a meaningful impact while enjoying the unique advantages of working in one of the world's leading tech hubs.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineers
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI and cloud-native systems. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI agents and cloud-native development. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI platforms. Practice common interview questions related to microservices and orchestration workflows to impress the hiring team.
✨Tip Number 4
Don’t forget to 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 is tailored to the Forward Deployed Engineer role. Highlight your experience with AI-driven systems, cloud-native development, and any relevant projects that showcase your skills in agent-based workflows.
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 aligns with our needs. Be specific about your experience with tools like Docker, Kubernetes, and any AI platforms you've worked with.
Showcase Your Technical Skills:In your application, don't forget to mention your proficiency in Python, Java, or similar languages. We want to see your hands-on experience with CI/CD pipelines and infrastructure as code, so make sure to include those details!
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 makes the process smoother for everyone involved!
How to prepare for a job interview at Randstad Digital
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your knowledge of AI platforms, cloud-native systems, and programming languages like Python or Java. Being able to discuss your hands-on experience with these tools will show that you're not just familiar but truly capable.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to AI agent engineering or cloud-native development. Use the STAR method (Situation, Task, Action, Result) to structure your answers, demonstrating how you tackled issues and what the outcomes were.
✨Demonstrate Collaboration
Since this role involves working closely with client and internal teams, be ready to share examples of successful collaborations. Talk about how you’ve participated in technical design discussions or worked within existing architecture standards to deliver production-quality code.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects, their approach to AI integration, or their engineering standards. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
