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- Tasks: Join client teams to develop innovative AI-native workflows using Python and TypeScript.
- Company: High-growth AI deployment company with a focus on cutting-edge technology.
- Benefits: Competitive salary up to £145k, bonuses, and comprehensive benefits package.
- Other info: Exciting opportunity for career growth in a dynamic tech environment.
- Why this job: Make a real impact in AI deployment while working closely with clients.
- Qualifications: 5+ years in production systems and expertise in LLMs or cloud platforms.
The predicted salary is between 130000 - 145000 £ per year.
Oliver Bernard is seeking a Forward Deployed Software Engineer specializing in Python and TypeScript to join a high-growth AI deployment company. The role involves embedding with client teams to develop AI-native workflows.
The ideal candidate will have:
- Over 5 years of experience in production systems
- Proficiency with LLMs or cloud environments like AWS, GCP, or Azure
A competitive salary of up to £145k plus bonuses and benefits is offered, dependent on experience.
AI Deployment Engineer – Client‐Facing (Python/TypeScript) in London employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Deployment Engineer – Client‐Facing (Python/TypeScript) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those who work with Python and TypeScript. Attend meetups or webinars to connect with potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI workflows or cloud environments. This will give you an edge and demonstrate your hands-on experience to potential clients.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to LLMs and cloud platforms like AWS, GCP, or Azure. Practise coding challenges to keep your skills sharp and ready for any technical assessments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Deployment Engineer – Client‐Facing (Python/TypeScript) 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 used these languages in real-world projects, especially in production systems.
Tailor Your Application: Don’t just send a generic CV! We love it when candidates customise their applications to reflect the job description. Mention your experience with LLMs or cloud environments like AWS, GCP, or Azure to catch our eye.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your relevant experience and skills.
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 the role without any hiccups!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Inside Out
Make sure you brush up on your Python and TypeScript skills. Be ready to discuss your experience with production systems and how you've implemented AI-native workflows in the past. They’ll want to see that you can not only code but also understand the bigger picture of AI deployment.
✨Familiarise Yourself with Cloud Environments
Since the role involves working with cloud platforms like AWS, GCP, or Azure, it’s crucial to have a solid understanding of these environments. Prepare to talk about specific projects where you’ve used these technologies and how they contributed to successful AI deployments.
✨Showcase Your Client-Facing Skills
As this position is client-facing, be ready to demonstrate your communication and collaboration skills. Think of examples where you’ve worked directly with clients, how you handled their needs, and any challenges you overcame while embedding with teams.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions about the company’s approach to AI deployment and their team dynamics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.