At a Glance
- Tasks: Design and engineer innovative AI solutions while collaborating with diverse teams.
- Company: Dynamic tech firm focused on cutting-edge AI development.
- Benefits: Competitive salary, travel opportunities, and professional growth.
- Other info: Exciting projects with excellent career advancement potential.
- Why this job: Shape the future of AI and make a real impact across industries.
- Qualifications: 2 years in cloud-native solutions 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.
AI Software Native Engineer employer: MOBOLISE
As an AI Software Native Engineer, you will join a dynamic team that values innovation and collaboration, working in a culture that encourages creative problem-solving and continuous learning. With opportunities for professional growth and the chance to engage with diverse clients across the UK, this role offers a competitive salary and a supportive environment where your contributions directly impact real-world solutions. Embrace the challenge of shaping the future of AI while enjoying the flexibility of travel and the excitement of working on cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Native Engineer
✨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 best projects, especially those cloud-native solutions you’ve built. Share it on platforms like GitHub or your personal website to give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practicing common questions and scenarios related to AI software engineering. Think about how you’d tackle real-world problems and be ready to discuss your thought process. We want to see your creativity in action!
✨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 and engaged with our company.
We think you need these skills to ace AI Software Native Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your cloud-native solutions experience and any relevant projects you've worked on. We want to see how you can bring your unique flair to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for the role. Share your passion for AI and how your problem-solving skills can help us create innovative solutions. Keep it engaging and personal – we love to see your personality shine through!
Showcase Your Projects:If you've got any projects or prototypes that demonstrate your engineering prowess, don’t hesitate to include them! Whether it's a GitHub repo or a live demo, showing us what you can do will definitely make you stand out in the application process.
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 gives you a chance to explore more about us and what we do at StudySmarter!
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 scalable 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.
✨Communicate Clearly and Confidently
Practice explaining technical concepts in a way that’s easy to understand. You might have to lead design workshops or communicate with executives, so being able to articulate your ideas clearly is key. Consider doing mock interviews with friends to refine your delivery.
✨Be Ready for Ambiguity
Since the role involves thriving in ambiguity, prepare to discuss how you approach uncertain situations. Think of examples where you’ve had to make decisions without all the information and how you navigated those challenges.
