Software Engineer

3 days ago

Sheffield, Sheffield, United Kingdom Albany Beck Full time £60,000 - £120,000 per year

Summary
:

Our client is developing in-house solutions to support customer onboarding and KYC processes. This includes creating client-facing applications that allow users to manage their interactions with the bank, as well as building orchestration capabilities to reduce the time required for both clients and staff to complete these activities.

In this role, you will lead engineering for our flagship AI capability. You will work across a broad range of services from generative AI and machine learning components to integration services. This position requires hands-on engineering, leading by example to deliver a best-in-class solution iteratively to our users. You will also influence engineers, architects, and business stakeholders to ensure we are building the right products in the right way.

Key Responsibilities:

  • You will be designing and building solutions, using microservice architecture, working closely with the product team to understand the requirements and impact of changes being made..
  • You will be working to release change to production every day, across the entire team - owning requirements through discussions with the business through to development, testing, release to and support of production.
  • You will be expected to collaborate with cross-functional teams to deliver high-impact solutions.
  • You will be driving the development and troubleshooting of backend systems and AI/ML models.
  • You will be driving the delivery of document data extraction and unstructured data processing capabilities.

What you need to have to succeed in this role:

  • Strong experience delivering product to production, at pace.
  • Extensive experience developing microservices using highly iterative methods to deliver change to production regularly. Experience delivering microservices without using frameworks like SpringBoot is a plus.
  • Proven experience with Azure OpenAI/ChatGPT and cloud-based AI solutions.
  • Strong background in backend technologies and scalable software architecture.
  • Expertise in developing and consuming REST APIs.
  • Given AI is an ever-evolving field, and appetite to keep learning and staying on top of latest developments to drive to team to stay at the forefront of technology developments.

A few other skills that would be nice to see:

  • Experience with cloud platforms.
  • Familiarity with DevOps practices and CI/CD pipelines.
  • Industry experience delivering AI/ML solutions to production - particularly including hands on experience with generative AI and prompt engineering.

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