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 the heart of London.
- Benefits: Competitive pay, flexible working arrangements, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on hands-on engineering and technical design.
- Why this job: Be at the forefront of AI innovation and make a real impact in enterprise environments.
- Qualifications: 8-10 years of software engineering experience with a focus on cloud-native and AI systems.
The predicted salary is between 80000 - 100000 € per year.
Location: London, UK
Type: Contract Inside IR35
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 in London employer: Randstad Technologies
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 pride ourselves on fostering a collaborative work culture that encourages continuous learning and professional growth, offering access to cutting-edge tools and resources. With a focus on meaningful projects and a commitment to employee well-being, we provide an environment where your contributions are valued and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineers in London
✨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. Attend meetups or webinars to meet potential employers and showcase your skills.
✨Tip Number 2
Show off your projects! Create a portfolio that highlights your experience with AI-driven systems and cloud-native development. Share it on platforms like GitHub and make sure it's easy for recruiters to see what you can do.
✨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 agent-based workflows and cloud-native architectures to impress your interviewers.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented Forward Deployed Engineers. Make sure your application stands out by tailoring it to the specific role and showcasing your relevant experience.
We think you need these skills to ace Forward Deployed Engineers in London
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 systems, cloud-native development, and any relevant projects you've worked on. We want to see how your skills match 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 great fit for our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects:If you've worked on any cool projects related to AI or cloud-native systems, make sure to mention them in your application. We’re keen to see real examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter team!
How to prepare for a job interview at Randstad Technologies
✨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 worked in cross-functional teams, participated in technical discussions, and contributed to design decisions. This will highlight your ability to work well with others.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects, their tech stack, or future goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
