Prompt Engineer (IT)
Prompt Engineer 6 Month contract initially Location: London Rate: £400 £450 p/d (via Umbrella company) We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference. We have a great opportunity for an Prompt Engineer to join the team. Prompt Engineer in the Data and Analytics domain within banking plays a crucial role in leveraging Generative AI (GenAI) and large language models (LLMs) to extract valuable insights and automate processes efficiently and compliantly Key Responsibilities:
- Design, develop, and refine prompts to maximize the accuracy and effectiveness of GenAI models.
- Utilize techniques like few-shot prompting, chain-of-thought, and RAG (Retrieval Augmented Generation) to improve model performance within banking applications.
- Iteratively test and refine prompts based on the evaluation of AI outputs to enhance model performance.
- Manage the full prompt lifecycle, ensuring alignment with business needs and technical requirements.
- Formulate precise queries to guide AI models in analysing vast datasets for market trends, risk assessment, and portfolio optimization.
- Help generate automated reports, summaries of key financial metrics, revenue/expense forecasts, and risk assessments.
- Optimize AI outputs to turn raw data into actionable insights for decision-making.
- A strong understanding of Large Language Models (LLMs), including architectures, capabilities, and limits.
- Familiarity with different GenAI model types, such as text generation, summarization, and question answering.
- Knowledge of model hallucinations, bias, and context windows.
- Mastery of prompting strategies such as zero-shot, few-shot, chain-of-thought (CoT), tree-of-thought (ToT), and self-consistency.
- Expertise in Retrieval Augmented Generation (RAG) architecture and implementation to integrate external, up-to-date, and proprietary data sources.
- Knowledge of prompt templating, variable injection, and dynamic prompt generation
- Strong SQL skills for querying and extracting data from banking databases.
- Proficiency in Python (or similar) for data manipulation, scripting, automation, and integrating with AI APIs.
- Familiarity with data structures and data warehousing concepts.
- Understanding of API authentication, rate limits, and error handling
- Analytical and Critical Thinking
- Strong verbal communication skills to collaborate with data scientists, engineers, business stakeholders, and legal teams
- Meticulousness in crafting prompts, as small changes can impact AI output quality and adherence to regulatory requirements
- Ability to work effectively in cross-functional teams (Data Science, ML Engineering, UX, Legal, Business Units).
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