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- Tasks: Design and deploy intelligent AI agents, integrating them into existing workflows.
- Company: A growing tech SME in the UK with a focus on innovation.
- Benefits: Hybrid working model and competitive salary between £80-90k.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Over 3 years of experience in software or AI engineering and strong Python skills.
- Other info: Collaborate across teams and work on cutting-edge projects.
The predicted salary is between 80000 - 90000 £ per year.
A growing tech SME in the UK is looking for an Agentic Engineer to design and deploy intelligent AI agents. The role involves integrating these systems into existing workflows and collaborating with teams across the organization.
Ideal candidates should have over 3 years of experience in software or AI engineering, strong Python skills, and familiarity with LLM integration.
This position offers a hybrid working model and a competitive salary between £80-90k.
Autonomous AI Agent Engineer — Hybrid London employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Autonomous AI Agent Engineer — Hybrid London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and LLM integration. 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 AI concepts and coding challenges. Practice explaining your past projects and how you've integrated AI into workflows, as this will be key in demonstrating your fit for the role.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to showcase your skills and experience directly to us. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Autonomous AI Agent Engineer — Hybrid London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software or AI engineering, especially your Python skills. We want to see how your background aligns with the role of an Autonomous AI Agent Engineer.
Showcase Your Projects: Include any relevant projects where you've designed or deployed intelligent AI agents. We love seeing practical examples of your work, especially if they involve LLM integration!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're excited about this role and how you can contribute to our team. Make it personal and engaging—let your passion for AI come through.
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 from our team!
How to prepare for a job interview at Digital Waffle
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and software engineering principles. Be ready to discuss your experience with Python and LLM integration, as these are key skills for the role. Prepare examples of projects where you've successfully designed or deployed intelligent agents.
✨Showcase Collaboration Skills
Since the role involves working with various teams, be prepared to talk about your experience in collaborative environments. Think of specific instances where you’ve worked cross-functionally and how you contributed to the success of a project. This will show that you can integrate AI systems into existing workflows effectively.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current AI projects and their future direction. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
✨Practice Problem-Solving
Expect technical questions or case studies during the interview. Practise solving problems related to AI agent design and deployment. Being able to think on your feet and demonstrate your problem-solving skills will impress the interviewers.
