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- Tasks: Design and build scalable AI infrastructure, develop robust systems, and optimise LLM features.
- Company: Join a cutting-edge AI project focused on improving data quality with LLM technology.
- Benefits: Enjoy remote work flexibility and competitive pay of £550/day, outside IR35.
- Why this job: Be part of an innovative team making a real impact in AI and data management.
- Qualifications: Proven experience with LLMs, strong Python skills, and familiarity with cloud platforms required.
- Other info: This is a 3-month contract role, ideal for tech-savvy individuals eager to advance their careers.
The predicted salary is between 39600 - 66000 £ per year.
We’re hiring for a cutting-edge AI project and looking for AI Software Engineer(s) with real-world experience building and deploying LLM-powered systems. The project is largely aimed at utilising LLMs to improve data quality and detect duplications in different data sets.
What You’ll Be Doing:
- Designing and building scalable AI/LLM infrastructure — APIs, microservices, orchestration layers.
- Developing robust systems in Python, with a strong grounding in software engineering best practices.
- Implementing CI/CD pipelines, Infrastructure-as-Code, and deploying to cloud (ideally Azure).
- Driving MLOps/LLMOps: versioning, tracking, monitoring, retraining — using tools like MLflow or W&B.
- Developing and optimising LLM features: prompt design, chaining, output handling, and cost/performance tuning.
What You’ll Need:
- Proven experience shipping LLM/AI features to production environments.
- Strong Python skills and experience working across full SDLC (Agile/Scrum).
- Practical knowledge of transformer architectures and LLM context strategies.
- Experience orchestrating multi-step AI workflows (sequential/parallel).
- Familiarity with cloud platforms (Azure preferred) and scalable system design.
- Hands-on with Git and modern MLOps practices.
- Databricks experience required.
If you have the required skills and experience, then please apply to discuss further.
AI Software Engineer employer: AI Connect
Contact Detail:
AI Connect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Software Engineer
✨Tip Number 1
Make sure to showcase your real-world experience with LLM-powered systems during any conversations. Be prepared to discuss specific projects where you've successfully implemented AI features, as this will demonstrate your capability and relevance for the role.
✨Tip Number 2
Familiarise yourself with the latest trends in MLOps and LLMOps. Being able to speak knowledgeably about tools like MLflow or W&B can set you apart from other candidates and show that you're up-to-date with industry practices.
✨Tip Number 3
Prepare to discuss your experience with cloud platforms, particularly Azure. Highlight any projects where you've deployed scalable systems, as this is a key requirement for the role and will demonstrate your hands-on expertise.
✨Tip Number 4
Engage with the AI community online, whether through forums, webinars, or social media. Networking can lead to valuable insights and connections that may help you stand out when applying for the position at StudySmarter.
We think you need these skills to ace AI Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLMs and AI systems. Focus on specific projects where you've designed scalable infrastructure or implemented CI/CD pipelines, especially in Python.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI and how your skills align with the job requirements. Mention your familiarity with tools like MLflow or W&B and any relevant experience with Azure.
Showcase Relevant Projects: If you have worked on projects involving transformer architectures or multi-step AI workflows, include these in your application. Provide links to your GitHub or portfolio to demonstrate your hands-on experience.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A polished application reflects your attention to detail, which is crucial in software engineering roles.
How to prepare for a job interview at AI Connect
✨Showcase Your LLM Experience
Be prepared to discuss specific projects where you've built and deployed LLM-powered systems. Highlight your role, the challenges you faced, and how you overcame them to demonstrate your real-world experience.
✨Demonstrate Your Python Proficiency
Since strong Python skills are essential for this role, be ready to talk about your experience with Python in detail. You might even want to prepare for a coding challenge or technical questions that assess your understanding of software engineering best practices.
✨Familiarise Yourself with CI/CD and MLOps
Understand the principles of CI/CD pipelines and MLOps, especially tools like MLflow or W&B. Be ready to explain how you've implemented these in past projects and how they contributed to the success of your AI solutions.
✨Prepare Questions About the Project
Show your interest in the role by preparing insightful questions about the AI project. Ask about the team's approach to improving data quality and how they envision the integration of LLMs, which will demonstrate your enthusiasm and engagement.
