At a Glance
- Tasks: Design and engineer innovative AI solutions for real-world applications.
- Company: Join a forward-thinking tech company focused on cloud-native solutions.
- Benefits: Competitive salary, travel opportunities, and professional growth.
- Other info: Dynamic role with opportunities to work across various industries.
- Why this job: Shape the future of AI while collaborating with diverse teams.
- Qualifications: 2 years of experience in cloud-native development and strong problem-solving skills.
The predicted salary is between 50000 - 60000 £ per year.
Location: Willing to travel to client sites throughout the UK on an ad hoc basis.
Salary: Competitive salary and package (Depending on level of experience).
Qualifications
- You will bring 2 years of experience building cloud-native solutions and orchestrating cross‑functional initiatives.
- You combine hands‑on engineering depth with the creativity and product intuition needed to shape solutions that work for real users and enterprises.
- You’re as comfortable writing production code as you are whiteboarding system designs, facilitating client workshops, or mapping out product roadmaps.
- You thrive in ambiguity and act as a bridge between vision and execution.
Responsibilities
- Product Orchestration: Partner with business and technical stakeholders to frame problems, align priorities, and translate needs into orchestrated AI workflows.
- Agent Architecture & Engineering: Design and engineer enterprise‑ready AI agents—including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
- Creative Problem Solving: Prototype novel solutions that blend technical rigor with human-centered product thinking.
- AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and enablement.
- Cloud-Native Product & Software Engineering: Apply containerization (Kubernetes, Docker), microservices, serverless, event‑driven architectures, CI/CD, and observability to create and integrate scalable AI-native systems.
- Domain-Specific Workflows: Tailor and deploy agentic applications across industry verticals (e.g. finance, healthcare, retail)—addressing domain-specific processes via intelligent automation.
- Storytelling & Communication: Lead design workshops, POCs, and code-with sessions; communicate technical tradeoffs and solution impact clearly to both executives and engineers.
- Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
- Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.
Agentic AI Engineer: Cloud-Native & Enterprise Apps employer: MOBOLISE
As an Agentic AI Engineer, you will join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where creativity meets technical expertise. With opportunities for professional growth and the chance to work on impactful projects across various industries, you will thrive in an environment that encourages continuous learning and development. The company's commitment to employee well-being is reflected in its competitive salary packages and flexible working arrangements, making it an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Engineer: Cloud-Native & Enterprise Apps
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your cloud-native solutions and any projects you've worked on. This is your chance to demonstrate your hands-on engineering depth and creativity—make it shine!
✨Tip Number 3
Practice makes perfect! Prepare for interviews by role-playing common questions and scenarios you might face. Think about how you can communicate your technical trade-offs and solution impacts clearly—this will set you apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talent like yours. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s get you on board!
We think you need these skills to ace Agentic AI Engineer: Cloud-Native & Enterprise Apps
Some tips for your application 🫡
Show Your Experience:Make sure to highlight your 2 years of experience in building cloud-native solutions. We want to see how you've orchestrated cross-functional initiatives and what hands-on engineering skills you bring to the table.
Be Creative:Don’t just list your technical skills; show us how you’ve used them creatively! Share examples of how you've solved problems with a human-centred approach, especially in AI workflows or enterprise applications.
Tailor Your Application:Customise your application to reflect our job description. Use keywords from the listing, like 'cloud-native', 'AI agents', and 'microservices', to demonstrate that you understand what we’re looking for.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at MOBOLISE
✨Know Your Tech Inside Out
Make sure you’re well-versed in cloud-native solutions and the technologies mentioned in the job description, like Kubernetes and Docker. Brush up on your coding skills and be ready to discuss your past projects where you’ve built or integrated AI systems.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous roles. Think about times when you had to bridge the gap between technical and non-technical stakeholders, and be ready to explain your thought process clearly.
✨Communicate Effectively
Practice explaining technical concepts in a way that’s easy for anyone to understand. You might be asked to lead a design workshop or communicate trade-offs, so being able to articulate your ideas clearly will set you apart.
✨Be Ready for Ambiguity
Since the role involves thriving in ambiguity, prepare to discuss how you approach uncertain situations. Share examples of how you’ve navigated unclear requirements or shifting priorities in past projects, demonstrating your adaptability and creativity.
