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- Tasks: Architect and develop cutting-edge platform services for investment banking.
- Company: Join a globally respected financial institution at the forefront of technology.
- Benefits: Competitive salary, mentorship opportunities, and a chance to work with modern tech.
- Why this job: Make a real impact in AI engineering while solving complex technical challenges.
- Qualifications: 6-12 years in software/data engineering with strong Generative AI knowledge.
- Other info: Dynamic role with excellent career growth and collaboration across teams.
The predicted salary is between 80000 - 100000 £ per year.
This is a unique opportunity for technically strong hands-on engineering SME to join a cutting-edge platform engineering function, which provides cloud and on-prem infrastructure to front-office developers (quantitative and strat teams). You’ll be at the forefront of cloud-native engineering, working with modern technologies across AWS, On-premise Kubernetes, Python, and data pipelines. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference in a globally respected financial institution, this role is for you.
Key Responsibilities
- Architect and develop platform services
- Collaborate with internal infra/platform teams to align capabilities
- Design and implement cost-aware, secure, scalable systems using AWS services and Kubernetes
- Mentor junior engineers and set best practices
- Work across organisational boundaries and influence without authority when needed
- Keep abreast of modern engineering trends, especially in AI/ML infrastructure and cloud-native tooling
Key Requirements
- 6-12 years of experience in software/data engineering; ideally in platform or infra roles
- Strong understanding of Generative AI concepts, along with hands-on experience in developing and deploying AI applications in real-world environments
- Experience with Agentic Solutions and technologies (Langchain, Langragh, Rag-Patterns)
- Deep experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, Api Gateway, Step Functions, MSK, Cloudformation etc.)
- Experience with On-Prem Hadoop and Kubernetes
- Strong programming skills in Python; familiarity with Java is a plus
- Knowledge of how quantitative or front-office developers operate is a strong plus
GenAI Platform Engineer - Investment Banking employer: Caspian One
Contact Detail:
Caspian One Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Platform Engineer - Investment Banking
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving AWS, Kubernetes, and AI. We want to see what you can do, so make it easy for us to find your best work.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of cloud-native technologies. We recommend practicing common algorithms and system design questions to impress your interviewers.
✨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 GenAI Platform Engineer - Investment Banking
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical expertise in your application. We want to see your hands-on experience with AWS, Kubernetes, and Python. Don’t just list your skills; give us examples of how you've used them to solve real-world problems.
Tailor Your Application: Take a moment to customise your application for this role. We’re looking for someone who understands the nuances of platform engineering in investment banking, so make sure to connect your experience with the key responsibilities mentioned in the job description.
Be Passionate About AI: Since this role involves Generative AI, let your enthusiasm shine through! Share any projects or experiences that demonstrate your passion for AI Engineering and how you stay updated with the latest trends in the field.
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 don’t miss out on any important updates from our team. Plus, it shows you’re keen to join us at StudySmarter!
How to prepare for a job interview at Caspian One
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS services and Kubernetes. Brush up on your Python skills and be ready to discuss how you've used these tools in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific technical challenges you've faced and how you solved them. This role is all about tackling hard problems, so having concrete examples will demonstrate your capability and passion for engineering.
✨Understand the Business Context
Familiarise yourself with how quantitative and front-office developers operate. Being able to speak their language and understand their needs will set you apart and show that you can bridge the gap between tech and business.
✨Be Ready to Mentor
Since mentoring junior engineers is part of the role, think about your past experiences in guiding others. Be prepared to share your approach to best practices and how you’ve helped others grow in their technical skills.