At a Glance
- Tasks: Design and deploy AI solutions using AWS and generative AI techniques.
- Company: Join Deepstreamtech, a dynamic Centre of Excellence in Greater London.
- Benefits: Exciting projects, opportunities for growth, and a collaborative work environment.
- Other info: Collaborate with global teams and take on wider responsibilities.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Strong problem-solving skills and a passion for learning new technologies.
The predicted salary is between 60000 - 80000 € per year.
Deepstreamtech is seeking a Gen AI specialist in Greater London to join our dynamic COE. The role involves designing and deploying AI solutions utilizing AWS technology and generative AI techniques while collaborating with off-shore teams.
Ideal candidates will possess strong problem-solving skills and be eager to learn and implement innovative technologies. This position opens opportunities for wider responsibilities and novel projects within our organization.
GenAI Solutions Engineer: Graph RAG & AWS employer: Deepstreamtech
Deepstreamtech is an excellent employer for those looking to thrive in the cutting-edge field of generative AI. With a vibrant work culture in Greater London, employees benefit from collaborative projects, continuous learning opportunities, and the chance to take on wider responsibilities that foster professional growth. Our commitment to innovation and teamwork makes us a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Solutions Engineer: Graph RAG & AWS
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with AWS and generative AI. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI solutions and AWS. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on problem-solving scenarios. Think about how you would tackle real-world challenges using generative AI techniques. We want to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace GenAI Solutions Engineer: Graph RAG & AWS
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS and generative AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the GenAI Solutions Engineer role and how your problem-solving skills can contribute to our team at Deepstreamtech.
Showcase Your Learning Mindset:We love candidates who are eager to learn! In your application, mention any recent courses, certifications, or self-study you've undertaken in AI or AWS technologies. It shows us you're proactive and ready to grow.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Deepstreamtech
✨Know Your GenAI Inside Out
Make sure you brush up on generative AI concepts and AWS technologies. Be ready to discuss how you've applied these in past projects or how you would approach specific problems using these tools.
✨Show Off Your Problem-Solving Skills
Prepare examples of challenges you've faced in previous roles and how you tackled them. Deepstreamtech values strong problem-solving abilities, so highlight your thought process and the innovative solutions you implemented.
✨Collaborate Like a Pro
Since the role involves working with off-shore teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with remote teams and navigated any challenges that arose.
✨Be Eager to Learn
Demonstrate your enthusiasm for learning new technologies and methodologies. Talk about any recent courses, certifications, or projects that showcase your commitment to staying ahead in the rapidly evolving AI landscape.
