About the company
We work with businesses globally to deliver tailored, end-to-end Artificial Intelligence, Consulting, Data, Digital, Cloud & DevOps and Software Engineering solutions that drive value and growth. Our business domain expertise covers hi-tech, financial services and insurance, while we explore the art of the possible in our groundbreaking Financial Labs (FinLabs).
Job Summary
Responsibilities:
đź“ŤPrompt Development & Engineering: đź“ŤDesign and optimize effective prompts for large language models to improve output quality for various use cases. đź“ŤFine-tune prompt strategies for specific applications, including chatbots, content generation, and automated customer service. đź“ŤTest and iterate on different prompt approaches to ensure alignment with project goals. đź“ŤLarge Language Model (LLM) & Retrieval-Augmented Generation (RAG): đź“ŤDevelop and fine-tune large language models like GPT, Gemini, Langchain, and Llama for specific business needs. đź“ŤImplement RAG techniques to improve model outputs by integrating external knowledge from retrieval systems.
Requirements:
📍Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. 📍Experience level 7+ years. 📍Strong understanding of machine learning concepts, natural language processing (NLP), and generative AI. 📍Experience with prompt development and fine-tuning large language models like GPT, Gemini, Langchain, and Llama.
If you’re passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.
