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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
Familiarise yourself with the latest advancements in LLM technology and be prepared to discuss them during your interview. This shows your passion for the field and your commitment to staying updated.
✨Tip Number 2
Network with professionals in the AI and software engineering community, especially those who have experience with LLMs. Engaging in discussions or attending relevant meetups can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to demonstrate your practical skills by working on a small project that showcases your ability to build and deploy LLM-powered systems. This hands-on experience can set you apart from other candidates.
✨Tip Number 4
Research StudySmarter's current projects and values. Tailoring your conversation to align with our mission can help you make a strong impression and show that you're genuinely interested in joining our team.
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 hands-on experience with tools like MLflow or W&B, and your familiarity with Azure.
Showcase Relevant Projects: If you have worked on relevant projects, consider including a portfolio or links to your GitHub. Highlight any contributions to open-source projects or personal projects that demonstrate your expertise in LLMs and MLOps.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A well-presented 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 the challenges you faced and how you overcame them, as this will 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 MLOps Tools
Make sure you understand the tools mentioned in the job description, like MLflow or W&B. Be ready to explain how you've used these tools in past projects to drive MLOps/LLMOps processes effectively.
✨Prepare for Cloud Platform Discussions
As familiarity with cloud platforms, particularly Azure, is preferred, brush up on your knowledge of deploying applications in the cloud. Be prepared to discuss your experience with Infrastructure-as-Code and CI/CD pipelines.
