Applied AI Software Engineer
SKILLS
FULL DESCRIPTION
Applied AI Software Engineer
We are seeking an experienced Applied AI Software Engineer to join our growing AI product team in the UK, based in Glasgow or London. In this role, you will enhance existing products and capabilities while expanding AI-enabled applications and services. You’ll work with a team focused on data and AI development, applying your software engineering expertise and experience with AI or agent-based solutions.
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 and 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
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 Technical 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 Technical skills:
- Generative AI and LLM application development
- Generative & Agential libraries and frameworks
- DevOps experience in Azure.
What we offer
Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra [Employer hidden — view at passion-project.co.uk] day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you.
Equal Opportunity Employer
We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining [Employer hidden — sign up to reveal], please email [Employer hidden — sign up to reveal]
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