At a Glance
- Tasks: Engage with customers, conduct code reviews, and develop custom AI solutions.
- Company: Dex, a leading AI company focused on customer-driven innovation.
- Benefits: Competitive salary up to £250k, flexible work options, and growth opportunities.
- Why this job: Shape the future of AI while working directly with enterprise clients.
- Qualifications: Experience in software engineering and strong communication skills.
Dex is looking for engineers who can engage in customer conversations and conduct code reviews within the same hour. This forward-deployed role reflects the rarity and commercial importance in modern AI companies, with compensation up to £250k.
Successful candidates will work directly with enterprise customers, develop custom integrations and data pipelines, and help shape product decisions based on customer needs.
Enterprise AI Solutions Engineer – Customer-Facing employer: Dex
At Dex, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our Enterprise AI Solutions Engineers enjoy competitive compensation packages, including salaries up to £250k, and have ample opportunities for professional growth through direct engagement with enterprise customers and involvement in shaping product decisions. Located in a vibrant tech hub, our team thrives in an environment that values creativity and customer-centric solutions, making every day rewarding and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise AI Solutions Engineer – Customer-Facing
✨Tip Number 1
Get to know the company inside out! Research Dex's products, values, and recent projects. This will help you engage in meaningful conversations during interviews and show that you're genuinely interested.
✨Tip Number 2
Practice your coding skills and be ready for live coding sessions. Since this role involves code reviews, brush up on your coding knowledge and be prepared to demonstrate your problem-solving abilities on the spot.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insights into the company culture and potentially lead to referrals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to make an impact in the AI space.
We think you need these skills to ace Enterprise AI Solutions Engineer – Customer-Facing
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and how it can transform businesses. Share any relevant projects or experiences that highlight your skills in this area.
Tailor Your Application:Make sure to customise your application for the Enterprise AI Solutions Engineer role. Highlight your experience with customer-facing roles and any technical skills that align with the job description.
Be Clear and Concise:We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to see your qualifications at a glance.
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.
How to prepare for a job interview at Dex
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies and tools relevant to the role. Brush up on AI concepts, coding languages, and integration techniques. Being able to discuss these confidently will show that you’re ready to engage with customers and tackle their needs head-on.
✨Practice Customer Conversations
Since this role involves direct interaction with enterprise customers, practice how you would explain complex technical concepts in simple terms. Role-play with a friend or colleague to simulate customer conversations, focusing on clarity and understanding.
✨Prepare for Code Reviews
Expect to conduct code reviews during your interview. Familiarise yourself with common coding standards and best practices. Be ready to critique code constructively and suggest improvements, as this will demonstrate your technical expertise and collaborative spirit.
✨Showcase Problem-Solving Skills
Think of examples from your past experiences where you’ve solved complex problems or made product decisions based on customer feedback. Be prepared to discuss these scenarios in detail, highlighting your analytical thinking and ability to adapt to customer needs.
