Trainee / Junior AI Engineer supporting real customer projects at WE BUILD AI. Working with AI applications including automation solutions and machine learning models in a hybrid environment.
About the role
- ML and AI Engineer creating Generative AI solutions for public sector and enterprise clients. Collaborating with teams to innovate and implement cloud-based AI technologies.
Responsibilities
- Fine-tune, deploy, and monitor Generative AI models and Agentic AI for enterprise use cases
- Develop and implement Retrieval-Augmented Generation (RAG) pipelines and advanced context engineering strategies
- Integrate Agentic AI into business workflows to accelerate solution delivery
- Collaborate with data engineers to bring Agentic capabilities to production
- Stay current with AI trends, tools, and best practices, and drive innovation within the team
Requirements
- 3+ years of experience in ML/AI, with a recent focus on Gen AI and LLMs
- Experience with GenAI frameworks (e.g., Hugging Face, LangChain, Agentic)
- Proficient in context engineering, RAG, and LLMOps
- Experience deploying ML/AI solutions on Azure (Azure OpenAI, Azure AI Foundry)
- Strong understanding of responsible AI and model safety
- Have experience in Computer Vision for Optical Character Recognition (OCR), and object recognition
Benefits
- A collaborative and supportive environment in which you can grow and develop your career
- The tools and opportunity to do work you can be proud of
- A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience
- Hybrid working – we empower you to make smart choices about when and where to work to achieve great results
- Industry leading coaching and mentoring
- Competitive salary and an excellent benefits package
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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