Junior Prompt Engineer

JOB
- Junior Prompt Engineer

LOCATION
- Reading (Hybrid)

TERM
- Permanent

SALARY- £45,000 to £60,000 per annum

BENEFITS – Pension, Hybrid Working, Training & Development, Career Progression, Annual Leave, Company Benefits etc.

We are an innovative technology company developing cutting‑edge AI solutions for a diverse range of commercial clients. As we continue to invest in artificial intelligence and emerging technologies, we are looking to expand our growing AI team with the addition of a Junior Prompt Engineer.

We are looking to hire a Junior Prompt Engineer with a passion for Generative AI and Large Language Models (LLMs). This is an excellent opportunity for a recent graduate or early‑career professional to work alongside experienced AI Engineers and Software Developers, helping to design, test, and optimise AI‑powered solutions used across a variety of real‑world applications.

• A degree qualification (2:1 or above preferred) in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Mathematics, Physics, Engineering, or another STEM discipline
• A genuine interest in Generative AI and Large Language Models (LLMs)
• Basic to intermediate Python programming skills
• Experience using AI tools such as ChatGPT, Claude, Gemini, or similar LLMs
• Strong analytical and problem‑solving skills
• Excellent communication skills (both verbal and written)
• A willingness to learn, develop, and build a career within AI

• An understanding of prompt engineering principles and AI best practices
• Experience working with OpenAI, Anthropic, or Azure OpenAI APIs would be beneficial
• Knowledge of AI frameworks such as Lang Chain, Llama Index, or similar
• Familiarity with Git and Git Hub version control
• Experience with SQL and REST APIs would be advantageous
• Knowledge of vector databases and Retrieval‑Augmented Generation (RAG) concepts would be beneficial
• Exposure to cloud platforms such as Microsoft Azure or AWS
• Experience using automation tools such as Power Automate, n8n, or Zapier would be advantageous
• A proactive approach with a passion for learning new technologies

• Designing and refining prompts to improve the performance, accuracy, and reliability of AI models
• Building AI workflows that integrate Large Language Models, APIs, databases, and automation platforms
• Testing and evaluating AI model performance through prompt optimisation and benchmarking
• Working closely with software engineers and stakeholders to develop AI‑powered applications
• Applying Python and prompt engineering techniques to solve real‑world business challenges
• Researching emerging AI technologies and recommending improvements to existing solutions
• Maintaining prompt libraries, technical documentation, and AI best practices