Software Engineer Data Science

As a Prompt Engineer, you will play a crucial role in designing, testing, and optimizing prompts for large language models (LLMs) to enhance the accuracy, efficiency, and usability of AI-driven applications. Your responsibilities will include: - Designing, developing, and refining prompts for AI/LLM applications to ensure high-quality and contextually accurate outputs. - Collaborating with product engineering and data teams to integrate prompt strategies into applications and workflows. - Conducting A/B testing and evaluating prompt effectiveness across different scenarios. - Maintaining a knowledge base of reusable prompt templates and frameworks. - Staying updated with advancements in generative AI, Agentic AI prompt engineering techniques, and tooling. - Analyzing outputs, debugging issues, and proposing prompt modifications for continuous improvement. To excel in this role, you should possess the following skills and qualifications: - Strong understanding of large language models (LLMs) such as GPT, Claude, LLaMA, or similar. - Familiarity with Agentic frameworks, specifically LangChain and LangGraph. - Experience in prompt design, chaining, and optimization. - Proficiency in at least one programming language, preferably Python. - Strong analytical and problem-solving skills. - Excellent written and verbal communication skills. - Ability to work in cross-functional teams and translate business needs into AI solutions. Additionally, if you have worked with UK clients and teams, experience with the onshore-offshore model, and commercial awareness in aspects like revenue recognition and margin management, it would be advantageous. Please note that this is a full-time position and does not offer remote work opportunities. As a Prompt Engineer, you will play a crucial role in designing, testing, and optimizing prompts for large language models (LLMs) to enhance the accuracy, efficiency, and usability of AI-driven applications. Your responsibilities will include: - Designing, developing, and refining prompts for AI/LLM applications to ensure high-quality and contextually accurate outputs. - Collaborating with product engineering and data teams to integrate prompt strategies into applications and workflows. - Conducting A/B testing and evaluating prompt effectiveness across different scenarios. - Maintaining a knowledge base of reusable prompt templates and frameworks. - Staying updated with advancements in generative AI, Agentic AI prompt engineering techniques, and tooling. - Analyzing outputs, debugging issues, and proposing prompt modifications for continuous improvement. To excel in this role, you should possess the following skills and qualifications: - Strong understanding of large language models (LLMs) such as GPT, Claude, LLaMA, or similar. - Familiarity with Agentic frameworks, specifically LangChain and LangGraph. - Experience in prompt design, chaining, and optimization. - Proficiency in at least one programming language, preferably Python. - Strong analytical and problem-solving skills. - Excellent written and verbal communication skills. - Ability to work in cross-functional teams and translate business needs into AI solutions. Additionally, if you have worked with UK clients and teams, experience with the onshore-offshore model, and commercial awareness in aspects like revenue recognition and margin management, it would be advantageous. Please note that this is a full-time position and does not offer remote work opportunities.