Senior Gen Ai Software Engineer - Python/Polyglot/Esoteric

Senior Gen AI Software Engineer - Python/Polyglot/Esoteric sought by leading investment bank based in the city of London.

**Inside IR35 - 2/3 days a week onsite**
Are you looking for career move that will allow to take a strategic project zero to one? Then bring your extensive coding experience and passion for change and be part of the team building a green-field development at scale.
By joining the Platform Engineering team, you will be a founding member of the team creating the Generative AI platform for the bank. Our remit encompasses large scale engineering challenges on-premise and on cloud, along with cutting edge use of LLMs to address the use-cases of our users across the bank.
You will be joining us right at the beginning of our journey, we are a startup within the bank and everyone will be actively coding. So, we need innovative and creative self-starters who have had previous experience in developing large-scale platforms involving data, finance, and analytics.
What you'll do will be very case and experience driven, but here are some essentials:

• Design and build high-quality, highly reliable software
• Partner closely with other development teams, quants and subject-matter experts in our businesses
• Ensure our software platforms are compliant with the banks security and SDLC (Software Development Life Cycle) processes
• Run the platform at scale and continue innovating and evolving

What we'll need from you:

• Some knowledge of Python
• Strong distributed systems skills and knowledge
• Strong system architecture skills
• Experienced in building and running a large platform at scale
• Very strong knowledge and experience of at least one structured programming language -- e.g. Java, C# (experience of more esoteric languages: Rust, Clojure, Haskell etc. highly appreciated too).
• Good Knowledge of Kubernetes, Kafka, REST-ful design
• Development experience of at least one public cloud provider
• An understanding of AI/ML and more particularly LLMs eager to apply this rapidly changing technology would be beneficial but not essential.

Please apply within for further details or call on
Alex Reeder
Harvey Nash Finance & Banking