AI Engineer

We're looking for a talented and forward-thinking AI Engineer to join our innovative team in the London area. This is a unique opportunity to work on cutting-edge AI technologies and contribute to transformative projects across multiple domains., * 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.

Do you have experience in Data science?, Do you have a Bachelor's degree?, * 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
• Typically, 6+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role.
• Proficiencies in data cleansing, exploratory data analysis, and data visualization
• Continuous learner that stays abreast with industry knowledge and technology

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.