At a Glance
- Tasks: Design and develop innovative AI software solutions using Python for a large organisation.
- Company: Join a dynamic AI Enablement team in a growing tech company.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and a focus on engineering excellence.
- Why this job: Make a real impact by solving business challenges with cutting-edge AI technologies.
- Qualifications: 7+ years of software engineering experience, strong Python skills, and backend development expertise.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking an experienced Senior AI Software Engineer to join a growing AI Enablement team focused on designing, building and deploying internal AI-powered software solutions across a large, complex organisation. This is a hands-on engineering role where you will work closely with Product Leads, business stakeholders and technical teams to deliver innovative AI solutions that solve real business challenges.
You will be responsible for:
- Designing scalable systems, integrating AI and Large Language Model (LLM) technologies, and developing production-grade applications that drive measurable business value.
- Exploring emerging AI technologies, building custom AI assistants and intelligent automation tools, and taking ownership of solutions from concept through to deployment and ongoing optimisation.
- Designing, developing and deploying AI-enabled software solutions for enterprise use, specifically using Python.
- Building and maintaining custom AI assistants, generative AI applications and intelligent workflow solutions.
- Writing clean, scalable, well-tested and production-ready code following software engineering best practices.
- Developing and maintaining backend Python services, APIs and microservices supporting AI-powered applications.
- Integrating Large Language Models (LLMs), AI services and machine learning capabilities into production systems.
- Owning complex technical challenges relating to performance, reliability, scalability and system integration.
- Implementing and supporting DevOps and MLOps practices to ensure robust deployment, monitoring and optimisation of AI solutions.
- Mentoring and supporting engineers, promoting engineering excellence and AI development best practices.
Requirements:
- 7+ years of professional software engineering experience.
- Strong backend engineering experience within complex software environments.
- Advanced Python development skills.
- Proven experience building and deploying production-grade software applications.
- Strong understanding of distributed systems, APIs, microservices architecture and secure software design.
- Experience integrating AI, Generative AI and Large Language Model (LLM) technologies into live production environments.
- Experience designing scalable, resilient and maintainable software architectures.
- Strong knowledge of cloud-native development and modern software engineering practices.
- Experience with CI/CD pipelines and automated deployment processes.
- Familiarity with monitoring, logging, observability and performance optimisation tools.
- Ability to own technical solutions end-to-end from design through deployment and support.
- Experience with machine learning solutions and ML model deployment.
- Experience with computer vision technologies.
- Exposure to MLOps frameworks and AI infrastructure management.
- Experience building AI assistants, chatbots or agent-based systems.
- Knowledge of cloud platforms such as AWS, Azure or Google Cloud Platform.
- Experience working in Agile software development environments.
We are looking to arrange interviews next week, so should you be interested to find out more please don't hesitate to apply with an up to date CV as soon as possible.
AI Graduate Software Engineer employer: Focus on WD
Join our dynamic AI Enablement team as a Senior AI Software Engineer, where you'll be at the forefront of innovation in a collaborative and supportive work environment. We prioritise employee growth through mentorship opportunities and hands-on experience with cutting-edge AI technologies, all while enjoying a flexible work culture that values work-life balance. Located in a vibrant area, our company offers unique advantages such as access to industry events and a strong network of professionals, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Graduate Software Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and Python. This gives you a chance to demonstrate your expertise and passion for the field, making you stand out to employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and coding challenges related to AI and software engineering. Practising with mock interviews can help you feel more confident and ready to impress.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Graduate Software Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI technologies and Python development. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects:If you've worked on any AI-related projects, make sure to mention them! Whether it's building AI assistants or deploying machine learning models, we want to know what you've done and how it relates to the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands quickly. Plus, it shows us you’re keen to join the StudySmarter family!
How to prepare for a job interview at Focus on WD
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and trends, especially those related to Large Language Models and generative AI. Be ready to discuss how you've integrated these technologies into your past projects and how they can solve real business challenges.
✨Showcase Your Python Skills
Since this role heavily relies on Python, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your approach to writing clean, scalable code. Practise common algorithms and data structures in Python to feel confident.
✨Understand the Architecture
Familiarise yourself with distributed systems, microservices architecture, and APIs. Be prepared to explain how you've designed scalable and resilient software architectures in your previous roles. This will show that you can handle complex technical challenges.
✨Be Ready for DevOps Talk
Since the role involves MLOps and CI/CD practices, be ready to discuss your experience with deployment processes and monitoring tools. Highlight any specific tools you've used and how they've helped optimise AI solutions in your past work.
