Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy AI agents that revolutionise business processes and enhance productivity.
- Company: Innovative SME focused on digital transformation and AI solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a creative team and explore cutting-edge technologies in a fast-paced setting.
- Why this job: Shape the future of AI in a dynamic environment while making a real impact.
- Qualifications: 3+ years in software or AI engineering with strong programming skills.
The predicted salary is between 90000 - 100000 £ per year.
An innovative and growing SME focused on digital transformation and AI driven solutions. As they scale their operations and harness the latest advancements in AI, they’re looking for a creative, technically skilled Agentic Engineer to help them design, build, and deploy autonomous, intelligent systems that make a real impact.
The Role
As an Agentic Engineer, you’ll play a key role in developing and integrating AI agents capable of independent reasoning, decision-making, and collaboration across their digital ecosystem. You’ll work closely with their product, data, and software teams to build adaptive solutions that enhance productivity, automate workflows, and enable smarter business processes. This is an opportunity to shape how next-generation AI is applied in a fast-moving SME environment—balancing hands-on technical work with strategic innovation.
Key Responsibilities
- Design, build, and deploy AI agents using frameworks such as LangChain, CrewAI, or similar.
- Integrate multi-agent systems into existing software products and business workflows.
- Collaborate with stakeholders to identify automation opportunities and deliver agentic solutions.
- Fine-tune and optimize LLMs for task-specific reasoning, retrieval, and planning.
- Develop scalable backend systems to support autonomous decision-making and communication between agents.
- Monitor, evaluate, and continuously improve agentic performance and reliability.
Skills & Experience
Essential: 3+ years in software engineering, AI engineering, or machine learning roles. Strong programming skills (Python preferred). Experience with LLM integration (e.g., OpenAI, Anthropic, Hugging Face). Understanding of agentic frameworks, prompt engineering, and orchestration tools. Familiarity with APIs, databases, and cloud infrastructure (AWS, Azure, or GCP).
Desirable: Experience in small, agile teams or start-up/SME environments. Knowledge of vector databases, RAG systems, or AI orchestration platforms. Interest in autonomous systems, cognitive architectures, or workflow automation.
Asset Integrity Analysis Engineer in City of London employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Asset Integrity Analysis Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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, especially those related to AI and software engineering. This gives you a chance to demonstrate your expertise and creativity beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI and agentic systems. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our innovative team.
We think you need these skills to ace Asset Integrity Analysis Engineer in City of London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and digital transformation shine through. We want to see how your creativity and technical skills can contribute to our innovative projects!
Tailor Your Experience: Make sure to highlight your relevant experience in software engineering and AI. We’re looking for specific examples of how you've designed or deployed intelligent systems, so don’t hold back on the details!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we want to understand your skills and experiences without getting lost in the 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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Digital Waffle
✨Know Your Tech Inside Out
Make sure you’re well-versed in the frameworks and tools mentioned in the job description, like LangChain and CrewAI. Brush up on your Python skills and be ready to discuss how you've used LLMs in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific instances where you identified automation opportunities or improved workflows, as this will resonate with their focus on enhancing productivity.
✨Collaborate Like a Pro
Since the role involves working closely with various teams, be ready to discuss your experience in collaborative environments. Share stories that highlight your ability to work with stakeholders and integrate feedback into your projects.
✨Stay Curious About AI Trends
Demonstrate your passion for AI by discussing recent advancements or trends in the field. This shows that you’re not just technically skilled but also genuinely interested in how AI can transform businesses, aligning with their innovative spirit.