At a Glance
- Tasks: Lead the build of cutting-edge AI systems in a dynamic enterprise environment.
- Company: Innovative tech firm focused on agent-based AI solutions.
- Benefits: Competitive rate, hybrid working, and potential for contract extension.
- Other info: Exciting opportunity to work with top AI platforms and technologies.
- Why this job: Join a team shaping the future of AI with real-world impact.
- Qualifications: 6+ years in software engineering and strong cloud-native development skills.
The predicted salary is between 60000 - 80000 £ per year.
We’re on the lookout for a highly experienced Agentic AI Software Engineer to lead the hands‑on build of enterprise‑grade AI systems, with a strong focus on agent‑based architectures, orchestration, and production deployment. This is a pure engineering role — ideal for someone who thrives on building, scaling, and optimising real‑world AI systems in complex enterprise environments.
What You’ll Be Building
- Design and deploy production‑ready Agentic AI systems, including:
- Agentic workflows (RAG, orchestration, tool use, routing)
- Multi‑model Agentic AI platforms across leading providers
- Cloud‑native, scalable Agentic AI services
- Enterprise‑integrated Agentic AI applications
Agentic AI Engineering
- Design and implement AI agents (RAG pipelines, orchestration flows, tool invocation, policy routing)
- Build evaluation frameworks (accuracy, latency, reliability)
- Implement observability and monitoring across the full agent lifecycle
- Integrate with providers such as OpenAI, Anthropic, Vertex AI, and open‑source models
- Optimise AI systems for performance, cost, and latency
Cloud‑Native Development
- Build scalable systems using serverless and event‑driven patterns
- Implement CI/CD pipelines and infrastructure as code (Terraform, Helm) and ensure production readiness (monitoring, logging, resilience).
Application & API Development
- Build AI‑powered applications aligned to enterprise workflows
- Integrate AI systems into existing enterprise platforms and APIs
- Develop backend services supporting agent orchestration
- Define and execute AI system testing strategies
- Analyse and improve latency, throughput, accuracy, and cost
- Troubleshoot and optimise live production systems
Required Experience
- 6+ years software engineering experience
- Strong background in cloud‑native development (APIs, microservices, containers, serverless)
- Proficiency in Python, Java, or similar backend languages
Competitive Rate (Inside IR35) Hybrid Working Structure – London 12‑Months Initial Contract – with Potential to extend
Senior Agentic AI Engineer, Enterprise Cloud-Native Systems employer: Experis UK
Join a forward-thinking company that champions innovation and excellence in the realm of AI engineering. With a hybrid working structure based in London, we offer competitive rates and a collaborative work culture that fosters creativity and professional growth. Our commitment to employee development ensures that you will have ample opportunities to enhance your skills while working on cutting-edge projects that shape the future of enterprise AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Agentic AI Engineer, Enterprise Cloud-Native Systems
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and cloud-native space. Attend meetups, webinars, or even local tech events. 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 projects related to agentic AI systems. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with cloud-native development and AI integrations. Practice common interview questions and think about how your past projects align with the role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role you’re interested in.
We think you need these skills to ace Senior Agentic AI Engineer, Enterprise Cloud-Native Systems
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Agentic AI Engineer. Highlight your experience with agent-based architectures and cloud-native development, as these are key for us. Use specific examples that showcase your skills in building and optimising AI systems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about agentic AI and how your background aligns with our needs. Be sure to mention any hands-on experience you've had with production deployment and orchestration.
Showcase Relevant Projects:Include any relevant projects or experiences that demonstrate your expertise in AI engineering. If you've worked on multi-model platforms or integrated with providers like OpenAI, let us know! We love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Experis UK
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially cloud-native development and AI platforms. Brush up on your Python or Java skills, and be ready to discuss how you've used these languages in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex engineering challenges. Think about times when you optimised systems for performance or integrated AI solutions into existing platforms. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand Agentic AI Concepts
Familiarise yourself with agent-based architectures and orchestration. Be prepared to discuss how you would design and deploy production-ready AI systems, and consider bringing ideas on evaluation frameworks and monitoring strategies to the table.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current AI projects, their tech stack, and team dynamics. This shows your genuine interest and helps you assess if the role is the right fit for you.
