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- Tasks: Lead the design and operation of AI systems for complex, unstructured documents.
- Company: Innovative medico-legal platform focused on AI technology.
- Benefits: £100,000 salary, bonuses, private healthcare, and remote work.
- Why this job: Make a real impact in AI while mentoring junior engineers.
- Qualifications: Proven experience with LLM-based systems and strong judgement in AI practices.
- Other info: Exciting career progression opportunities in a dynamic tech environment.
The predicted salary is between 60000 - 84000 £ per year.
Fully remote (UK based only) £100,000 plus + bonus + private healthcare. Permanent - Full-time employment.
This role is for an experienced AI Engineer with proven production experience building LLM-based systems for long, noisy and highly regulated text documentation, ideally in highly regulated domains.
You will take technical ownership of NLP and LLM systems already in live use within a medico-legal platform. The focus is on designing, building, evaluating and operating AI systems that work reliably on complex, unstructured documents, not research prototypes or prompt-only solutions.
You will remain hands-on across the full lifecycle, from problem framing and model design through to deployment, monitoring and iteration in production. You will lead the design and operation of LLM driven systems used to process large volumes of long-form, unstructured and inconsistent text common to healthcare and legal workflows. The work requires strong judgement around accuracy, auditability, explainability and regulatory constraints.
You will act as the technical lead for AI delivery, working closely with MLOps and Data Engineering teams and mentoring junior AI engineers.
- Build and maintain robust evaluation frameworks for accuracy, quality and reliability.
- Monitor model behaviour, performance and drift in live environments.
- Ensure explainability, auditability and responsible AI practices are embedded by design.
- Set technical standards and mentor junior engineers across the AI team.
Demonstrable experience building LLM-based systems for long, noisy, document-heavy data in production.
Experience designing and running model evaluation and monitoring in production.
Clear understanding of explainability, auditability and governance for AI systems.
This role is the technical lead for the AI function, with ownership of delivery quality, standards and mentoring.
Remote C# Engineer employer: Innova Recruitment
Contact Detail:
Innova Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote C# Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering fields. Attend meetups, webinars, or online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with LLM-based systems. Include case studies or projects that highlight your experience with complex documents. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your hands-on experience with NLP and model evaluation. Practice explaining complex concepts in simple terms – it shows you understand your stuff!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you that dream job!
We think you need these skills to ace Remote C# Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Remote C# Engineer. Highlight your experience with LLM-based systems and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
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 great fit for our team. Be sure to mention your hands-on experience with complex, unstructured documents.
Showcase Your Technical Skills: In your application, don't forget to showcase your technical skills, especially around NLP and model evaluation. We love seeing specific examples of how you've tackled challenges in production environments.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Innova Recruitment
✨Know Your Stuff
Make sure you brush up on your knowledge of LLM-based systems and NLP. Be ready to discuss your past experiences with complex, unstructured documents, especially in regulated domains like healthcare or legal. This will show that you understand the specific challenges of the role.
✨Showcase Your Leadership Skills
Since this position involves mentoring junior engineers and leading AI delivery, be prepared to share examples of how you've successfully led teams or projects in the past. Highlight your ability to set technical standards and ensure quality in AI systems.
✨Demonstrate Problem-Solving Abilities
Think of specific instances where you've framed problems and designed solutions in production environments. Discuss how you approached model evaluation and monitoring, and be ready to explain your thought process behind ensuring accuracy and auditability.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to responsible AI practices and how they handle model drift in live environments. This shows your genuine interest in the role and helps you gauge if the company aligns with your values.
