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Senior Prompt Engineer
We are looking for a Senior Prompt Engineer to lead the design, optimisation, and scaling of advanced prompting strategies for large language models (LLMs). This role focuses on delivering context-aware, safe, and efficient AI outputs across complex enterprise use cases.
You will work closely with engineering teams to integrate prompts into application workflows, autonomous agents, and RAG pipelines
, while continuously improving performance, reducing latency, and ensuring output consistency.
- Design and implement advanced, dynamic prompts tailored to business-specific use cases
- Optimise LLM performance by reducing token consumption, latency, and hallucinations
- Integrate prompts into agent-based systems, APIs, and RAG architectures
- Develop prompt frameworks and reusable templates for scalable deployment
- Establish evaluation, benchmarking, and regression testing mechanisms
- Implement guardrails to mitigate prompt injection and unsafe outputs
- Collaborate with product and engineering teams to translate business requirements into technical prompt logic
- Maintain a version-controlled prompt repository with continuous improvements
- 5+ years in software engineering with 2+ years in production-level prompt engineering
- Strong expertise in LLMs:
GPT-4, Claude, Llama, Mistral, Nova (or similar) - Advanced programming skills in Python and/or Java
- Experience with AI orchestration frameworks such as:
- Lang Chain
- Hands‑on experience with prompt evaluation and monitoring tools
, such as: - Lang Smith
- Fiddler
- InspectAI
- OpenAI Evals
- Bachelor’s or Master’s degree in Computer Science, AI, Statistics, Cognitive Science
, or related quantitative fields
Position Requirements
10+ Years
work experience
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