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 career advancement.
- Why this job: Make a real impact by solving business challenges with cutting-edge AI technologies.
- Qualifications: 7+ years of software engineering experience and strong Python skills required.
The predicted salary is between 60000 - 80000 £ 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Graduate Software Engineer in London
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 tell us why you’re the perfect fit for this role. Share your passion for AI and software engineering, and give us a glimpse of your personality. Keep it concise but engaging!
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 love seeing practical examples of your work.
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 team!
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, especially around Large Language Models and generative AI. Be ready to discuss how you've integrated these into production systems in your previous roles.
✨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, so practice writing clean, scalable code that adheres to best practices.
✨Understand the Business Impact
Be prepared to talk about how your AI solutions have driven measurable business value in the past. Think of specific examples where your work has solved real business challenges and be ready to share those stories.
✨Familiarise Yourself with DevOps Practices
This role involves implementing DevOps and MLOps practices, so make sure you understand CI/CD pipelines and automated deployment processes. Being able to discuss how you've used these in your projects will set you apart.
