- Company Name
- TechNET IT Recruitment Limited
- Job Title
- Prompt Engineer
- Job Description
-
**Job Title**
Prompt Engineer
**Role Summary**
Design, test, and optimise prompts and AI agents for large language models (LLMs) to power copilots and autonomous tools within government workflows. Collaborate with product, engineering, and research teams to deliver scalable, safe, and efficient AI solutions that improve public service productivity.
**Expectations**
- Deliver high‑accuracy, contextually relevant prompts and agent architectures.
- Ensure all AI outputs meet safety, ethical, and public service standards.
- Provide clear documentation and evidence of performance improvements.
**Key Responsibilities**
- Design, implement, and refine AI agents using Copilot, planning algorithms, and decision‑making frameworks.
- Develop agent architectures supporting autonomy, interactivity, and reliable task completion.
- Integrate agents into real‑world workflows, APIs, and applications (chatbots, copilots, automation tools).
- Collaborate with cross‑functional teams to iterate on agent performance.
- Monitor and evaluate model behaviour, building safety mechanisms and feedback loops.
- Analyse conversational logs and outputs to identify improvement opportunities.
- Maintain robust documentation of design decisions, dependencies, and prompt libraries.
- Champion responsible AI practices, ensuring outputs are safe, ethical, and align with public service values.
**Required Skills**
- Proven experience designing and refining prompts for LLMs (OpenAI, Anthropic, Mistral).
- Ability to build and maintain prompt libraries, templates, and documentation.
- Data analysis and evaluation framework skills for measuring prompt performance.
- Strong collaboration with engineers, researchers, and product teams.
- Up‑to‑date knowledge of agentic AI, LLM optimisation, and emerging prompt techniques.
- Effective communication of complex findings to technical and non‑technical audiences.
**Desirable Skills**
- Experience with autonomous agent frameworks (AutoGPT, CrewAI, LangGraph, ReAct, BabyAGI).
- Background in human–AI interaction, conversational UX, or simulation environments.
- Familiarity with vector databases and retrieval‑augmented generation (RAG).
- Understanding of ethical, social, and safety implications of AI in government.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience).
- Relevant certifications in AI, machine learning, or data science are a plus.