Automation Prompt Engineer

MediaRadar, Inc.

Automation Prompt Engineer developing AI and automation solutions at MediaRadar. Partnering with Data Ops and Governance teams to enhance data delivery and quality through innovative automation techniques.

Posted 6/24/2026full-timeRemote • 🇮🇳 IndiaJuniorMid-LevelWebsite

About the role

Key responsibilities & impact

Partner with Data Operations and Governance to identify high-value opportunities for AI and automation across data delivery and data quality workflows.
Build small, self-contained, plug-and-play solutions — prompts, low-code workflows, scripts, and lightweight agents — that deliver incremental efficiency without standing up large models or heavy systems.
Translate governance rules, definitions, and taxonomies into prompt and automation logic that produces accurate, consistent output.
Prototype rapidly, measure operational impact, and iterate solutions based on real results and validator feedback.
Deploy solutions into production data operations and support adoption, monitoring, and handoff.
Recognize when a need exceeds what a contained solution can deliver, and serve as the conduit to larger-scale deployment by helping define clear, actionable requirements for engineering and platform teams.
Maintain prompt libraries, automation assets, and documentation with clear versioning.
Track solution performance against scale, efficiency, accuracy, and consistency targets and report on the gains realized.
Stay current on AI and automation techniques and responsible-AI practices, and share them across teams.

Requirements

What you’ll need

2–5 years in a data, operations, analytics, classification, or domain-expert role.
Hands-on experience with AI/LLM tools, prompt design, and low-code or automation platforms.
Demonstrated ability to identify, build, and deploy practical, self-contained automation solutions that improve a workflow.
Sound judgment for scoping — knowing when a problem fits a small, contained solution and when it should be escalated to a larger build.
Strong domain understanding of the data and processes being automated.
Analytical mindset with comfort measuring impact and iterating toward better results.
Ability to translate governance rules and definitions into prompt and automation logic, and into clear requirements when needed.
A citizen-developer orientation — building with AI and low-code tools rather than heavy engineering.
Awareness of responsible-AI considerations (accuracy, bias, human oversight).
Clear written communication; precision with language is central to the role.

Benefits

Comp & perks

At MediaRadar, we are committed to creating an inclusive and accessible workplace where everyone can thrive.
We believe that diversity of backgrounds, perspectives, and experiences makes us stronger and more innovative.
We are proud to be an Equal Opportunity Employer and make employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other legally protected status.
In accordance with the EEO-1 reporting requirements, we collect demographic data as part of our efforts to ensure fair and equitable hiring practices across all levels of our organization.
A final compensation offer will ultimately be based on the candidate's location, skill level and experience, and the Company's pay equity.
We are also committed to ensuring our recruitment process is accessible to all applicants.
If you need a reasonable accommodation during the application or interview process, please contact us at **careers@mediaradar.com**.
We’re excited to meet people who share our values and want to build the future with us.

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Hard Skills & Tools

AI toolsLLM toolsprompt designlow-code platformsautomation solutionsdata delivery workflowsdata quality workflowsiterationperformance measurementversioning

Soft Skills

analytical mindsetsound judgmentclear written communicationdomain understandingcitizen-developer orientationproblem scopingcollaborationfeedback incorporationadaptabilityprecision with language