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- Tasks: Join a dynamic team as a Software Engineer, focusing on AI-driven product development.
- Company: Work with a prestigious client at the forefront of AI solutions in London.
- Benefits: Enjoy hybrid work options and a contract role outside IR35.
- Why this job: Be part of innovative projects that shape the future of technology and AI.
- Qualifications: Proven Python development skills and familiarity with Large Language Models are essential.
- Other info: Experience in AI/ML is a bonus, and collaboration in an agile environment is key.
The predicted salary is between 48000 - 72000 £ per year.
Role: Software Engineer
Location: London - Hybrid (1-2 days a week in office)
Employment Type: Contract (Outside IR35)
I'm hiring on behalf of a prestigious client working at the cutting edge of AI-driven solutions. They are seeking a skilled and passionate software engineer who thrives at the intersection of product management and software engineering.
As a product-focused software engineer, you will bridge the gap between technical development and strategic product leadership.
- Python Development: Leverage experience or awareness of Large Language Models (LLMs) to inform product design and ensure cutting-edge AI capabilities.
- Proven experience in Python development.
- Familiarity or experience with Large Language Models (LLMs).
- Experience working in a collaborative, agile environment.
Bonus Skills
- Background in AI/ML technologies.
Software Engineer Database employer: Montash
Contact Detail:
Montash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer Database
✨Tip Number 1
Make sure to showcase your experience with Python and any projects you've worked on that involve Large Language Models. Highlighting specific examples can really set you apart.
✨Tip Number 2
Network with professionals in the AI and software engineering fields. Attend meetups or online webinars to connect with others who might have insights into the company or role.
✨Tip Number 3
Familiarise yourself with the latest trends in AI and ML technologies. Being able to discuss current advancements can demonstrate your passion and knowledge during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges, especially those related to Python. Use platforms like LeetCode or HackerRank to sharpen your skills.
We think you need these skills to ace Software Engineer Database
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python development and any familiarity with Large Language Models (LLMs). Use specific examples of projects where you've applied these skills, especially in a collaborative, agile environment.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI-driven solutions and how your background aligns with the role. Mention any relevant projects or experiences that demonstrate your ability to bridge product management and software engineering.
Showcase Your Technical Skills: If you have experience with AI/ML technologies, be sure to include this in your application. Highlight any specific tools or frameworks you've used and how they relate to the job requirements.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail and professionalism, which are crucial in a software engineering role.
How to prepare for a job interview at Montash
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python development in detail. Bring examples of projects you've worked on, especially those that highlight your ability to leverage Python for AI-driven solutions.
✨Understand Large Language Models
Since the role involves working with LLMs, make sure you have a solid understanding of how they function and their applications. Be ready to discuss any relevant experience or knowledge you have in this area.
✨Demonstrate Product Focus
This position requires a blend of technical and product management skills. Prepare to explain how you've previously bridged the gap between software engineering and product leadership, showcasing your ability to think strategically.
✨Emphasise Collaboration and Agility
Highlight your experience working in collaborative, agile environments. Be ready to share examples of how you've contributed to team success and adapted to changing project requirements.
