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- Tasks: Enhance product delivery using AI tools and collaborate with a dynamic product team.
- Company: Join INSHUR, a forward-thinking company focused on innovation.
- Benefits: Enjoy a competitive salary, private healthcare, and generous leave policies.
- Other info: This hybrid role offers a vibrant work environment with growth opportunities.
- Why this job: Make a real impact by developing AI-driven software solutions that add customer value.
- Qualifications: Experience in coding with Go, Java (Spring), or Node.js and a product-focused mindset.
The predicted salary is between 60000 - 70000 £ per year.
INSHUR is seeking a Product-Minded Software Engineer III to enhance product delivery using AI tools. This hybrid role involves collaborating with a product team to develop and implement software solutions.
Key responsibilities include:
- Using agentic coding tools to improve product iterations
- Writing code in Go, Java (Spring), or Node.js
The ideal candidate has a product mindset focused on customer value and proficiency in AI-driven workflows.
Benefits include a salary of £60-£70k, private healthcare, and generous leave policies.
Product-Minded AI Software Engineer employer: INSHUR
Contact Detail:
INSHUR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product-Minded AI Software Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at INSHUR or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI tools and coding in Go, Java, or Node.js. This is your chance to demonstrate your product mindset and how you add customer value.
✨Tip Number 3
Prepare for the interview by understanding INSHUR's products and how AI can enhance them. Think about how you can contribute to their goals and be ready to discuss your ideas on improving product iterations.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Product-Minded AI Software Engineer
Some tips for your application 🫡
Show Your Product Mindset: When writing your application, make sure to highlight your product mindset. We want to see how you focus on customer value and how you've used AI tools in your past projects. This will help us understand how you can enhance our product delivery.
Tailor Your Experience: Don’t just send a generic CV! We love it when candidates tailor their applications to the role. Mention your experience with Go, Java (Spring), or Node.js specifically, and how you've collaborated with product teams in the past.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary to highlight your skills and achievements, making it easier for us to see why you're a great fit.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to showcase your skills directly to us. Plus, it helps us keep track of all applications in one place!
How to prepare for a job interview at INSHUR
✨Know Your Tech Stack
Make sure you’re well-versed in Go, Java (Spring), and Node.js. Brush up on your coding skills and be ready to discuss how you've used these languages in past projects. We recommend preparing a few examples of how you've implemented AI tools in your work.
✨Show Your Product Mindset
During the interview, highlight your understanding of customer value and how it drives product development. We suggest sharing specific instances where your product mindset led to successful outcomes, especially in enhancing user experience or product delivery.
✨Collaborate Like a Pro
Since this role involves working closely with a product team, be prepared to discuss your collaboration experiences. We advise thinking of examples where you’ve successfully worked in a team setting, particularly in agile environments, and how you contributed to achieving common goals.
✨Prepare for AI Discussions
Given the focus on AI-driven workflows, brush up on current trends and tools in AI that relate to software engineering. We recommend being ready to discuss how you’ve integrated AI into your projects and the impact it had on product iterations.