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 forward-thinking tech company.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and exciting projects.
- Why this job: Make a real impact by integrating cutting-edge AI technologies into live systems.
- Qualifications: 7+ years of software engineering experience with strong Python skills required.
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. The role offers the opportunity to explore emerging AI technologies, build custom AI assistants and intelligent automation tools, and take ownership of solutions from concept through to deployment and ongoing optimisation.
Key Responsibilities
- Design, develop and deploy AI-enabled software solutions for enterprise use, specifically using Python.
- Build and maintain custom AI assistants, generative AI applications and intelligent workflow solutions.
- Write clean, scalable, well-tested and production-ready code following software engineering best practices.
- Lead technical design decisions and contribute to architecture, scalability and system evolution.
- Develop and maintain backend Python services, APIs and microservices supporting AI-powered applications.
- Integrate Large Language Models (LLMs), AI services and machine learning capabilities into production systems.
- Own complex technical challenges relating to performance, reliability, scalability and system integration.
- Implement and support DevOps and MLOps practices to ensure robust deployment, monitoring and optimisation of AI solutions.
- Collaborate with Product Leads and stakeholders to translate business requirements into technical solutions.
- Communicate technical concepts effectively to both technical and non-technical audiences.
- Mentor and support engineers, promoting engineering excellence and AI development best practices.
Required Skills & Experience
- 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.
- Hands-on experience with Docker and containerisation technologies.
- Experience working with Kubernetes and container orchestration platforms.
- Familiarity with monitoring, logging, observability and performance optimisation tools.
- Ability to own technical solutions end-to-end from design through deployment and support.
- Strong stakeholder management and communication skills.
Desirable Experience
- 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 Software Engineer in Slough employer: Focus on WD
Join a forward-thinking organisation as a Senior AI Software Engineer, where you will be part of a dynamic AI Enablement team dedicated to crafting innovative AI solutions that address real business challenges. Our collaborative work culture fosters creativity and growth, offering ample opportunities for professional development and mentorship in a supportive environment. Located in a vibrant area, we provide a stimulating workplace that encourages exploration of emerging technologies while ensuring a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, attend meetups or webinars, 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 AI projects, especially those involving Python and LLMs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding system design principles. Practice common interview questions related to AI and software engineering to boost your confidence.
✨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 Software Engineer in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and AI technologies. We want to see how your skills align with the role, so don’t be shy about showcasing your past projects and achievements!
Showcase Your Projects:Include specific examples of AI solutions you've designed or deployed. We love seeing real-world applications of your work, especially if they demonstrate your ability to tackle complex challenges.
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that’s easy to read and understand.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
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 past 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 follows best practices.
✨Understand the Business Side
This position involves collaborating with Product Leads and stakeholders. Be prepared to explain how your technical solutions can address real business challenges and drive measurable value.
✨Communicate Clearly
You’ll need to explain complex technical concepts to non-technical audiences. Practice simplifying your explanations and think of examples that illustrate your points without getting too technical.
