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- Tasks: Design and build AI agents to revolutionise customer interactions.
- Company: Decagon, a leading tech firm in Greater London.
- Benefits: Competitive salary, equity, medical coverage, and flexible vacation.
- Why this job: Join a dynamic team and tackle complex challenges with cutting-edge technology.
- Qualifications: 3+ years of experience in software engineering, proficient in Python and Typescript.
The predicted salary is between 125000 - 180000 £ per year.
Decagon, based in Greater London, seeks an experienced software engineer to join the Agent Engineering team. This role focuses on designing and building AI agents to enhance customer interactions across various industries.
Ideal candidates should have:
- Over 3 years of experience
- Expertise in Python and Typescript
- A knack for solving complex challenges
The position offers a competitive salary of £125,000 – £180,000 plus equity, alongside generous benefits including medical, dental, and vision coverage, and a flexible vacation policy.
AI Agent Engineer — Build Scalable Conversational Tech in London employer: Decagon
Contact Detail:
Decagon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Agent Engineer — Build Scalable Conversational Tech in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Decagon. A personal introduction can make all the difference when you're applying for that AI Agent Engineer role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your Python and Typescript projects. When you get that interview, having tangible examples of your work will help you stand out from the crowd.
✨Tip Number 3
Practice makes perfect! Brush up on your problem-solving skills and technical knowledge related to AI agents. Mock interviews with friends or using online platforms can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace AI Agent Engineer — Build Scalable Conversational Tech in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and Typescript in your application. We want to see how you've tackled complex challenges in the past, so don’t hold back on those examples!
Tailor Your Application: Take a moment to customise your application for the AI Agent Engineer role. We love seeing candidates who understand our mission and can connect their skills to what we do at Decagon.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and achievements.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Decagon
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Typescript skills before the interview. Be ready to discuss specific projects where you've used these languages, and think about how you solved complex challenges in those situations.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled difficult problems in your previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how your contributions made a difference.
✨Understand the Company and Its Needs
Do some research on Decagon and their approach to AI agents. Familiarise yourself with their products and think about how your skills can enhance customer interactions. This will show that you're genuinely interested in the role and the company.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. Inquire about the team dynamics, the challenges they face in building scalable conversational tech, or how success is measured in this role. This demonstrates your enthusiasm and engagement.