Gen AI Engineer

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain. We are currently looking for AI Engineer who has proven track record in IT Industry. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below. Role: Gen AI Engineer Location: UNited kingdom Type: Contract & Remote 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. Experience in the following • 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.