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For Companies At a Glance
- Tasks: Design and deploy cutting-edge AI agents that revolutionise business processes.
- Company: Join a dynamic SME focused on digital transformation and AI solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and continuous improvement.
- Why this job: Shape the future of AI in a fast-paced 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.
Technology Asset 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 Technology Asset Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 or GitHub repository showcasing your projects related to AI and software engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios relevant to the role. Practice coding challenges and be ready to discuss your past experiences with AI frameworks and multi-agent systems.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Technology Asset Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Agentic Engineer role. Highlight your programming skills, AI engineering experience, and any relevant projects you've worked on. We want to see how you can contribute to our innovative team!
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 perfect fit for this role. Don’t forget to mention any experience with frameworks like LangChain or CrewAI, as we love seeing that enthusiasm.
Showcase Your Projects: If you've worked on any cool projects related to AI agents or autonomous systems, make sure to include them in your application. We’re keen to see your hands-on experience and how you’ve tackled challenges in previous roles. It’s all about demonstrating your creativity and technical skills!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Digital Waffle
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like LangChain and LLM integration. Brush up on your Python skills and be ready to discuss how you've used these tools 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 designed or optimised AI agents or integrated multi-agent systems, and be ready to explain your thought process.
✨Understand the Company’s Vision
Research the company’s approach to digital transformation and AI solutions. Be prepared to discuss how your skills align with their goals and how you can contribute to their innovative projects.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, team dynamics, or future plans for AI development. This not only demonstrates your enthusiasm but also helps you gauge if it’s the right fit for you.