Applied AI Software Engineer

WTW
17 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote

Tech stack

Agile Methodologies
Artificial Intelligence
Azure
Cloud Computing
Continuous Delivery
Data Security
DevOps
Integrated Development Environments
Python
Machine Learning
Node.js
NoSQL
Cloud Services
Software Engineering
Software Manufacturing
Software Systems
SQL Databases
TypeScript
Virtualization Technology
React
Large Language Models
Generative AI
Kubernetes
Docker

Job description

We are looking for an experienced Applied AI Software Engineer to enter our AI product team based in the UK.

This role will build upon and enhance the established products and capabilities that we already have, as well as expanding our product features and AI enabled applications and services.

You would be entering a growing team specialising on data and AI development, you will have a strong software engineering background, will probably be using AI in your day to day work, and may already have developed AI applications or Agent based solutions, but we will provide the opportunity to expand further into this space and gain even more experience., * Hybrid working up to 2 days in office, with the remainder of your time spent working remotely, offering a flexible approach to work-life balance within our collaborative team environment.

  • You will be able to provide mentorship and support to junior members of the team as well as take part in the overall design and direction of the technology solutions that we implement.
  • Applying design and architectural concepts to the solutions that they propose as well as excellent implementation of those designs as working, tested code.
  • You will be a native in agile practices - able to adopt the appropriate techniques and processes to deliver the highest value software solutions in a prioritised manner.
  • You will also be fully cognizant of cloud deployment and execution - with the ability to exploit cloud services and technologies as well as understanding the full life cycle of the product you create from requirement * code * testing * deployment * execution * support.

You will become a member of a small but highly experienced team, covering all aspects of software production - from design through to deployment and of course support.

Requirements

Do you have experience in Virtualization?, Do you have a Master's degree?, Essential Experience:

  • Demonstrable professional experience in a technical software environment, as a developer with data or application engineering.

  • Experience working in a modern 'Agile' development environment with good Continuous Delivery processes.

  • A solid understanding of numerical and statistical analysis.

  • Strong testing ethos and methodology

  • Cloud Deployment and Infrastructure

Helpful Experience:

  • Experience with the application of generative AI and Large Language Models (LLMs).

  • Knowledge of machine learning frameworks and libraries.

  • Understanding of data security and privacy best practices.

  • Excellent problem-solving and analytical skills.

  • Strong communication and collaboration abilities.

Essential skills:

  • Python, Python AI & Data Frameworks

  • TypeScript, Node, React and related modern frameworks

  • Docker, and Kubernetes (Virtualisation)

  • Data Observability, and Visualisation

  • SQL and NoSQL databases and processing

Helpful skills:

  • Generative AI and LLM application development

  • Generative & Agential libraries and frameworks

  • DevOps experience in Azure.

About the company

At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.

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