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- Tasks: Lead AI initiatives and develop intelligent systems for document automation.
- Company: Leading technology company at the forefront of AI innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of AI technologies in a dynamic and collaborative environment.
- Qualifications: Strong experience in AI/ML solutions and solid engineering skills with .NET and Azure.
- Other info: Join a team that values creativity and innovation in tech.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology company seeks a Senior Software Engineer – AI to develop intelligent systems for document automation. This role involves leading AI initiatives, deploying scalable solutions, and collaborating with cross-functional teams.
Ideal candidates will have strong experience in building AI/ML solutions, a solid engineering background with .NET, Azure, and Angular, and excellent communication skills.
Join us to help shape the future of AI-driven technologies in a dynamic environment.
Senior AI Software Engineer — Hybrid (LLMs/MLOps) employer: TRSS
Contact Detail:
TRSS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Software Engineer — Hybrid (LLMs/MLOps)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving document automation. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI and MLOps, and be ready to discuss how you've led initiatives in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. It shows initiative and enthusiasm, which we really value.
We think you need these skills to ace Senior AI Software Engineer — Hybrid (LLMs/MLOps)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with AI/ML solutions and your engineering background. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Use keywords from the posting to show us you’re a perfect fit for the Senior AI Software Engineer position.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the point.
Apply Through Our Website: We encourage you 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!
How to prepare for a job interview at TRSS
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML solutions, especially in the context of document automation. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them.
✨Show Off Your Tech Skills
Since the role requires a solid engineering background with .NET, Azure, and Angular, be prepared to demonstrate your expertise in these areas. Bring examples of your work or even code snippets that showcase your skills.
✨Collaboration is Key
This position involves working with cross-functional teams, so highlight your teamwork experience. Share examples of how you've successfully collaborated with others to achieve project goals, and emphasise your communication skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI initiatives and future projects. This shows your genuine interest in the role and helps you understand how you can contribute to their vision for AI-driven technologies.
