Applied AI Software Engineer

Willis Towers Watson; Glasgow; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

A global consulting firm in Glasgow is seeking an experienced Applied AI Software Engineer to join their AI product team. The role involves developing AI applications, mentoring junior members, and utilizing Agile methodologies to deliver high-quality software solutions. Candidates should have a strong background in software engineering and experience with cloud deployment. This position offers a hybrid working model and emphasizes collaboration within a growing team.

Qualifications

• Demonstrable professional experience as a developer with data or application engineering.
• Experience in an Agile development environment with Continuous Delivery processes.
• Solid understanding of numerical and statistical analysis.
• Strong testing ethos and methodology.
• Experience with cloud deployment and infrastructure.

Responsibilities

• Mentor and support junior team members.
• Design and implement technology solutions.
• Apply design and architectural concepts to proposals.
• Deliver value through appropriate Agile techniques.
• Manage cloud services and product life cycle.

Skills

Python, Python AI & Data Frameworks

TypeScript, Node, React

Docker

Kubernetes

Data Observability and Visualisation

SQL and NoSQL databases

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.

Office Location Preference

Glasgow/London

The Role

• 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.

Qualifications

The Requirements:

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.

Equal Opportunity & Inclusion Statement

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.