HomeCareersCurrent openingsAI Prompt Engineer
AI Prompt Engineer
Design the prompts, eval suites and guardrails that decide whether an LLM feature is good enough to ship.
Posted 09-Sep-2026. Open until it is filled.
Prompting is engineering here, not trial and error. You will own the prompt and evaluation layer of real AI products: agents, retrieval pipelines and in-product copilots that run against live traffic. The job is to make model behaviour measurable and repeatable, so the team can change a model or a prompt and know, with numbers, whether the system got better or worse.
AI Prompt Engineer responsibilities
- Design, version and test prompts for production agents, RAG systems and copilots, and document why each change moved the metric.
- Build evaluation suites that catch regressions before users do, with graded test sets and clear pass and fail thresholds.
- Tune retrieval and context assembly so the model gets the right information, not just more of it.
- Write guardrails and fallbacks for the cases that break a demo: refusals, hallucinations, jailbreaks and long-tail inputs.
- Work with the engineers serving the model on latency, cost per call and token budgets.
- Turn what you learn into reusable prompt patterns and eval templates the wider AI practice can pick up.
AI Prompt Engineer requirements
- 2 to 5 years working with LLMs in a hands-on role, with shipped or near-shipped features you can talk through.
- Strong Python, and comfort reading and writing code around an API rather than only using a playground.
- A real understanding of evaluation: you can explain how you would prove a prompt change is an improvement, not a vibe.
- Familiarity with RAG, embeddings and vector search, and the failure modes each one brings.
- Precise written reasoning, since most of this job is making model behaviour legible to other engineers.
- Experience with eval tooling such as Ragas or Braintrust, and tracing tools for agent runs.
- Hands-on time with LangGraph or a similar orchestration framework.
- A background in linguistics, applied ML or data science.
The role is already selected. Attach your resume and tell us about the work you would like to do.
Apply: AI Prompt Engineer
Complete six fields and attach your resume. We review every application and let you know the hiring decision.
- Your resume is stored privately and is never shared outside RNF Technologies.
- We answer within about one week, with reasons.
- No account, no login, no tracking pixel on this page.
Your application is in.
We will review your application and let you know our decision, usually within a week. To add information to your application, email [email protected].
Consider other roles at RNF Technologies.
Submit your application.
Apply using the form on this page. We will review your application and let you know our decision, usually within a week.