At a Glance
- Tasks: Build AI-enabled platforms and enhance production-grade AI solutions.
- Company: Datatech Analytics, a leader in AI and data transformation for Financial Services.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Open to all levels, from Engineer to Senior Manager.
- Why this job: Join a dynamic team and shape the future of AI in banking.
- Qualifications: Experience in backend development and familiarity with LLMs.
The predicted salary is between 60000 - 80000 £ per year.
Datatech Analytics is seeking professionals to support AI and data transformation programmes in Financial Services and Banking. You will be involved in building AI-enabled platforms, collaborating across teams to enhance production-grade AI solutions.
The role is open to candidates from Engineer to Senior Manager level, with responsibilities including:
- Developing backend services
- Working with LLMs
- Supporting AI deployments
AI Platform Engineer - LLMs, RAG & Production AI employer: Datatech Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of AI and data transformation. With a strong focus on employee growth, we provide ample opportunities for professional development across various levels, ensuring that our team members are equipped to excel in their roles. Located in the heart of the Financial Services and Banking sector, we offer unique advantages such as exposure to cutting-edge technologies and the chance to make a meaningful impact on industry-leading projects.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer - LLMs, RAG & Production AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in AI and data transformation. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with LLMs and backend services. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We all know that being able to communicate your ideas clearly is just as important as your technical prowess.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Platform Engineer - LLMs, RAG & Production AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI platforms and backend services. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in Financial Services and how you can contribute to our team. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your experience with LLMs and production AI solutions. We’re looking for candidates who can hit the ground running, so highlight any specific tools or technologies you’ve worked with.
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. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Datatech Analytics
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs and production AI. Be ready to discuss specific projects you've worked on, especially those involving backend services or AI deployments. This shows you're not just familiar with the concepts but have practical experience too.
✨Collaboration is Key
Since the role involves working across teams, be prepared to talk about your collaboration skills. Share examples of how you've successfully worked with others to enhance AI solutions. Highlighting your teamwork will show that you can fit into their collaborative culture.
✨Ask Smart Questions
Prepare insightful questions about Datatech Analytics' current AI initiatives and future plans. This demonstrates your genuine interest in the company and the role. It also gives you a chance to assess if their vision aligns with your career goals.
✨Showcase Problem-Solving Skills
Be ready to discuss challenges you've faced in previous roles, particularly related to AI and data transformation. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing how you tackled issues and contributed to successful outcomes.
