A prompt engineer designs, tests and improves the instructions, examples and context given to large language models so they produce accurate, consistent and safe results. They build evaluation sets to measure quality and tune prompts, retrieval and guardrails for each task.
Hire prompt engineers to get reliable, accurate output from large language models. Our specialists design and test prompts, build evaluation sets, reduce hallucinations and optimise cost and latency for your generative AI applications.
Every one of our prompt engineers is technically vetted, communicates clearly in English and works with sufficient time-zone overlap for daily collaboration. Choose full-time, part-time or hourly engagement, start quickly and scale your team as your roadmap evolves.
Skills our prompt engineers bring to your team from day one.
Share your requirements, review hand-picked profiles, interview the candidates you like and onboard within days. Your developer works as part of your team, using your tools and processes, while we take care of HR, infrastructure, security and replacements.
Engagement models: Full-time dedicated (around 160 hours per month), part-time (around 80 hours per month) and hourly or project-based arrangements.
Our prompt engineers work with GPT, Claude, Gemini, LLaMA and Mistral models; evaluation tools such as Promptfoo, LangSmith and custom Python test harnesses; RAG frameworks including LangChain and LlamaIndex; and structured outputs and function calling. They work closely with developers to put prompts under version control and into CI pipelines.
Billing is monthly, and you can add people or reduce hours with reasonable notice as your needs change. Prompt engineers often work alongside OpenAI developers or AI developers. When prompting is not enough, see model fine-tuning.
Ready to hire prompt engineers? Tell us about your AI application and its quality goals, and we will share suitable profiles. Share your requirements.
Common questions about hiring prompt engineers through Prominent AI Services LLP.
Well-designed prompts and evaluations dramatically improve accuracy and consistency, often without expensive fine-tuning.
Yes. They work with GPT, Claude, Gemini and open-source models, adapting techniques to each.
Yes. You can add resources or reduce hours with reasonable notice as your project needs change.
Rates depend on experience and engagement model. Many clients start with a part-time or short project-based engagement to set up evaluations and improve key prompts.
We build an evaluation set of realistic inputs with expected outputs or scoring rules, then measure accuracy, consistency, safety and cost for each prompt version.
Yes. Newer models are more capable, but clear instructions, good context, examples and evaluation still make a large difference to accuracy, consistency and cost in business applications.
Often, yes. Shorter prompts, smarter use of smaller models and caching can reduce token usage substantially while keeping quality, measured on your evaluation set.
