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- Tasks: Join a Health-Tech company as an AI Engineer, implementing LLM products remotely.
- Company: Work with a forward-thinking Health-Tech firm focused on innovative AI solutions.
- Benefits: Enjoy a fully remote role with competitive pay and flexible working conditions.
- Why this job: Make a real impact by supporting sensitive data management for customers.
- Qualifications: Experience with on-premises LLM products and proficiency in Python and C# required.
- Other info: Contract length is 6 months, with a day rate of £450-£500.
Contract Length: 6-Months
Location: Fully Remote (UK Candidates Only)
Day Rate: £450-£500 Outside IR35
Start Date: ASAP
Are you an Ai Engineer with a vast amount of experience working on on-premises LLM Products? We’re working with a Health-Tech company and they’re looking for an Ai Engineer to support them with implementing an off-the-shelf Ai product that will support their customers with their sensitive data. This will be hugely beneficial for their company and customers and they need an Engineer to start with them asap. If you’ve had experience working with on-prem / locally hosted LLM Products then please reach out to me. If it’s not clear in your CV then make it clear!
Experience Needed:
- Experienced Ai Engineer / Artificial Intelligence Engineer
- Comfortable working with implementing LLM Products (on-premises / locally)
- Off-the-shelf LLM experience needed
Tech Stack:
- Python
- C#
- Fine Tuning experience
- MCP (Model Context Protocol)
- Bonus: OCR experience would be amazing
If this sounds like your next opportunity, apply with your updated CV. For more information, reach out to Ross Britton @ Understanding Solutions via LinkedIn.
Artificial Intelligence Engineer employer: Understanding Solutions
Contact Detail:
Understanding Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Make sure to highlight your experience with on-premises LLM products during any conversations or interviews. Be ready to discuss specific projects where you've implemented these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarise yourself with the tech stack mentioned in the job description, particularly Python and C#. Brush up on your skills and be prepared to discuss how you've used these languages in previous roles, especially in relation to fine-tuning LLMs.
✨Tip Number 3
Network with professionals in the health-tech sector, especially those who work with AI. Engaging with industry-specific groups on platforms like LinkedIn can provide insights and potentially lead to referrals that could strengthen your application.
✨Tip Number 4
If you have experience with OCR technology, make sure to mention it in discussions. This could set you apart from other candidates, as it's noted as a bonus in the job description, showing that you have additional relevant skills.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to clearly outline your experience with on-premises LLM products in your CV. If you have worked with off-the-shelf AI products, emphasise this as well. Use specific examples to demonstrate your expertise.
Tailor Your CV: Customise your CV to align with the job description. Focus on the required skills such as Python, C#, and fine-tuning experience. Ensure that these skills are prominently featured in your application.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are the perfect fit for the role. Mention your familiarity with the tech stack and any relevant projects you've completed. This is your chance to showcase your passion for AI engineering.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Understanding Solutions
✨Showcase Your LLM Experience
Make sure to highlight your experience with on-premises LLM products during the interview. Be prepared to discuss specific projects you've worked on, the challenges you faced, and how you overcame them.
✨Demonstrate Technical Proficiency
Since the role requires knowledge of Python and C#, be ready to discuss your proficiency in these languages. You might even be asked to solve a coding problem or explain your approach to fine-tuning models.
✨Understand the Health-Tech Context
Familiarise yourself with the health-tech industry and the importance of handling sensitive data. Showing that you understand the implications of AI in this sector can set you apart from other candidates.
✨Prepare Questions for the Interviewer
Have insightful questions ready for the interviewer about the company's current projects and future goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
