At a Glance
- Tasks: Design and operate a cutting-edge Generative AI platform in a hands-on role.
- Company: Join United Cerebral Palsy of Georgia, a leader in innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on transforming AI technology.
- Why this job: Make AI reliable and scalable while working on impactful projects.
- Qualifications: Experience in DevOps, MLOps, and cloud architecture is essential.
The predicted salary is between 60000 - 80000 £ per year.
Join United Cerebral Palsy of Georgia as an AI Platform Engineer, where you will design, build, and operate a production-grade Generative AI platform. This hands-on role involves owning the full lifecycle of data retrieval and LLM systems across modern cloud architecture.
Responsibilities include:
- Optimising scalable RAG pipelines
- Orchestrating AI services
- Enhancing performance while embedding security into the AI lifecycle
If you're passionate about making AI reliable and scalable, we want to hear from you.
GenAI Platform Engineer – DevOps & MLOps in London employer: United Cerebral Palsy of Georgia
At United Cerebral Palsy of Georgia, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a GenAI Platform Engineer, you will not only contribute to cutting-edge AI solutions but also benefit from extensive professional development opportunities and a supportive environment that values your growth. Located in a vibrant community, we offer competitive benefits and a commitment to making a meaningful impact in the lives of those we serve.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Platform Engineer – DevOps & MLOps in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and DevOps space on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Generative AI and MLOps. We love seeing practical examples of what you can do, so make sure to highlight your best work.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of cloud architecture and RAG pipelines. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who want to make AI reliable and scalable.
We think you need these skills to ace GenAI Platform Engineer – DevOps & MLOps in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the GenAI Platform Engineer role. Highlight any relevant projects or technologies you've worked with, especially in DevOps and MLOps.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Be specific about your experience with scalable RAG pipelines and cloud architecture.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles. We love seeing how you approach optimising performance and embedding security into AI systems.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially around Generative AI, DevOps, and MLOps. Brush up on your knowledge of cloud architecture and scalable RAG pipelines, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles related to AI platforms or data retrieval. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate how you optimised performance or enhanced security in your projects.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current AI initiatives, their approach to security in the AI lifecycle, and how they measure success in their projects. This shows your genuine interest and helps you gauge if it’s the right fit for you.
✨Demonstrate Your Passion for AI
Let your enthusiasm for AI shine through. Share any personal projects, contributions to open-source, or relevant coursework that showcases your commitment to making AI reliable and scalable. This can set you apart from other candidates who may not express the same level of passion.
