At a Glance
- Tasks: Design and develop cutting-edge AI technologies for transformative projects.
- Company: Join DXC Technology, a global leader in IT services with a collaborative culture.
- Benefits: Enjoy flexible working, continuous learning, and a supportive work environment.
- Other info: Be part of an inclusive team that values creativity and excellence.
- Why this job: Make a real impact on AI projects that shape the future.
- Qualifications: Experience with Transformer models and a passion for AI innovation.
The predicted salary is between 28800 - 48000 € per year.
Location: Erskine, Scotland - Hybrid
Security Clearance level: SC
Candidates must be UK national/sole British citizens and resided in the UK for 5 years or over.
DXC Technology (DXC: NYSE) is the world's leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. The role involves working on cutting-edge AI technologies and contributing to transformative projects across multiple domains.
Key Responsibilities
- Design, develop, and optimize Transformer-based architectures (GPT, LLaMA, Mistral, Claude)
- Fine-tune large language models for domain-specific applications
- Implement advanced prompt engineering strategies
- Leverage Retrieval-Augmented Generation (RAG) for enhanced contextual performance
- Build intelligent agents using frameworks like LangChain, LlamaIndex, CrewAI, AutoGen
- Apply reinforcement learning techniques including Q-learning, policy gradients, and RLlib
- Collaborate with cross-functional teams to integrate AI solutions into scalable products
- Ensure best practices in data engineering and contribute to architectural decisions
- Contribute to the mentoring and development of junior team members
- Support senior team members in identifying and addressing data science opportunities
Required Skills & Experience
- Proven experience with Transformer models and LLMs (GPT, LLaMA, Mistral, Claude)
- Strong background in fine-tuning and prompt engineering
- Hands-on experience with RAG pipelines
- Familiarity with Agent Frameworks (LangChain, LlamaIndex, CrewAI, AutoGen)
- Solid understanding of reinforcement learning concepts and tools (Q-learning, policy gradients, RLlib)
- Azure AI Engineer Associate certification (or willingness to obtain)
- Bachelor's degree in a relevant field or equivalent combination of education and experience
- Demonstrated relevant industry experience, including time spent in a similar role
- Proficiencies in data cleansing, exploratory data analysis, and data visualization
- Continuous learner that stays abreast with industry knowledge and technology
Why Join Us?
- Work on impactful AI projects with real-world applications
- Be part of a collaborative and forward-thinking team
- Access to continuous learning and development opportunities
- Flexible working arrangements and a supportive work culture
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
AI Engineer employer: DXC
DXC Technology is an exceptional employer, offering AI Engineers the chance to work on transformative projects in a collaborative and innovative environment in Erskine, Scotland. With a strong commitment to employee growth through continuous learning opportunities and a flexible work culture that prioritises wellbeing, DXC fosters a supportive atmosphere where creativity and excellence thrive. Join us to make a meaningful impact in the world of AI while being part of a globally recognised corporate citizen.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Network Like a Pro
Get out there and connect with people in the AI field! Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Transformer models and LLMs. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on reinforcement learning concepts and prompt engineering strategies. Practice common interview questions and be ready to discuss your past experiences in detail.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest job openings in one place.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Transformer models and any relevant projects you've worked on. We want to see how your skills align with 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 you can contribute to our innovative team. Keep it concise but impactful – we love a good story!
Showcase Your Skills:Don’t just list your skills; demonstrate them! If you’ve fine-tuned large language models or implemented advanced prompt engineering strategies, share specific examples. We’re keen to see your hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at DXC
✨Know Your Transformers
Make sure you brush up on your knowledge of Transformer models like GPT, LLaMA, and Mistral. Be ready to discuss how you've fine-tuned these models in past projects, as well as any advanced prompt engineering strategies you've implemented.
✨Showcase Your RAG Skills
Since the role involves Retrieval-Augmented Generation, prepare to explain how you've used RAG pipelines in your work. Bring examples of how this has enhanced contextual performance in your previous projects.
✨Reinforcement Learning Ready
Familiarise yourself with reinforcement learning concepts, especially Q-learning and policy gradients. Be prepared to discuss how you've applied these techniques in real-world scenarios, as this will demonstrate your hands-on experience.
✨Collaborative Spirit
Highlight your experience working in cross-functional teams. Share specific examples of how you've integrated AI solutions into scalable products and contributed to mentoring junior team members, as teamwork is key in this role.
