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- Tasks: Define and build reliable AI-first software features while experimenting with innovative techniques.
- Company: Dynamic tech startup in Greater London with a focus on innovation.
- Benefits: Competitive pay, flexible working hours, and a collaborative environment.
- Other info: Exciting opportunities for creativity and professional growth.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: 3+ years of experience in software engineering and proficiency in modern Python.
The predicted salary is between 43200 - 72000 £ per year.
A dynamic technology startup in Greater London seeks a Software Engineer passionate about developing AI-first software. You will contribute by defining and building reliable product features and experimenting with AI techniques.
Required qualifications include:
- At least 3 years of experience
- Proficiency in modern Python
- A creative mindset
The role offers a competitive pay package, flexible working, and a collaborative environment focused on innovation and high-quality standards.
Hybrid AI-First Software Engineer for Enterprise in London employer: Cogna
Contact Detail:
Cogna Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid AI-First Software Engineer for Enterprise in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend tech meetups, and connect with fellow engineers 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 showcasing your AI projects and software development work. This is your chance to demonstrate your creative mindset and proficiency in Python, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Hybrid AI-First Software Engineer for Enterprise in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI-first software. Share any projects or experiences that highlight your creativity and how you've used AI techniques in your work.
Highlight Relevant Experience: Make sure to detail your experience with modern Python and any relevant projects you've worked on. We want to know how your skills align with the role, so don’t hold back on showcasing your achievements!
Tailor Your Application: Customise your application to reflect the job description. Use keywords from the listing to demonstrate that you understand what we’re looking for and how you fit into our dynamic team.
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’re considered for this exciting opportunity in our collaborative environment.
How to prepare for a job interview at Cogna
✨Know Your AI Stuff
Make sure you brush up on the latest AI techniques and trends. Be ready to discuss how you've applied AI in your previous projects, as this will show your passion and expertise in developing AI-first software.
✨Show Off Your Python Skills
Since proficiency in modern Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures in Python to feel confident.
✨Be Creative!
This role values a creative mindset, so think of innovative solutions or projects you've worked on. Share examples that highlight your ability to think outside the box and contribute to building reliable product features.
✨Emphasise Collaboration
The company focuses on a collaborative environment, so be prepared to discuss how you've worked effectively in teams. Highlight experiences where you contributed to group projects or helped others achieve their goals.