Generative AI Engineer
Job in
Leeds, West Yorkshire, ME17, England, UK
Listed on 2025-12-30
Listing for:
Avensys Consulting UK
Full Time
position Listed on 2025-12-30
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Role: Gen AI Engineer
Location: Remote
Contract: 06 Months
Rate: 450-500 GBP Per Day – Inside IR35 MAX
The Gen AI Engineer will be a specialized type of artificial intelligence professional, focused on designing, developing & implementing generative AI models and algorithms. Working collaboratively with the team to ensure project deadlines are met.
- Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases.
- Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.).
- Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance.
- Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js backends.
- Collaborate with architects to define scalable and secure AI service architectures.
- Implementing AI / ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML).
- Manage model evaluation, drift monitoring, and continuous improvement processes.
- Optimize inference performance and cost (e.g., model compression, quantization, API optimization).
- Ensure compliance with AI ethics, security, and governance standards.
- Prepare and curate training datasets (structured / unstructured text, images, code).
- Apply data preprocessing, tokenization, and embedding generation techniques.
- Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases.
- Partner with business stakeholders to identify and shape AI use cases.
- Contribute to the creation of a strategic AI adoption roadmap and reusable AI Workbench / platform components.
- Support POCs, pilots, and full-scale implementations with agile delivery.
- Document and present solution designs, technical findings, and results to leadership and clients.
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