AI Prompt Engineer

SIRCLO; Tangerang Selatan; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A tech company in Indonesia is looking for a Software Engineer/Data Engineer to enhance AI agent functionality. The role involves documenting workflows, designing prompts, and collaborating with stakeholders. Strong SQL and Python skills are essential, along with problem-solving abilities. Comfortable communication with technical and non-technical audiences is required. Experience with various LLM providers is a plus.

Qualifications

• Mid to senior experience as a Software Engineer or Data Engineer.
• Strong understanding of backend systems and data workflows.
• Experience with multiple LLM providers like OpenAI and Google Gemini.

Responsibilities

• Document manual workflows and translate them into system prompts.
• Design and maintain prompts to improve AI agent accuracy.
• Collaborate with engineers to enhance backend functionality.

Skills

SQL skills

Python debugging

Markdown proficiency

Problem-solving

Communication

Tools

Google BigQuery

Job description

Responsibilities

• Document manual workflows and translate them into clear, structured system prompts for AI agents.
• Design, iterate, and maintain prompts to improve accuracy, consistency, and guardrails.
• Analyse and debug incorrect, inconsistent, or unsafe LLM outputs, identifying whether issues come from prompt design, tools, data or queries, or model limitations.
• Collaborate with engineers to understand AI agent tools, backend behaviour, and request improvements.
• Work closely with stakeholders to validate workflows and clearly explain agent logic and execution steps.
• Test and compare AI agents across multiple LLM providers and configurations.
• Maintain prompts, configurations, and documentation in Git-based repositories using Markdown.
  
  

Requirements

• Mid to senior experience as a Software Engineer or Data Engineer, with strong understanding of backend systems and data workflows.
• Strong SQL skills, including writing and debugging queries to ensure correct data outputs.
• Ability to read and make small fixes in Python code to support code execution and debugging.
• Comfortable reading API documentation and working with structured JSON inputs and outputs.
• Proficient in Markdown for writing system prompts, configurations, and documentation.
• Able to translate real-world business processes into clear, step-by-step logic that AI agents can reliably follow.
• Strong problem-solving skills, including checking logs and documentation to diagnose and fix agent failures.
• Comfortable working independently in a small team with end-to-end ownership.
• Experience with multiple LLM providers (e.g. OpenAI, Google Gemini, Anthropic Claude) is a plus.
• Experience with analytical databases such as Google BigQuery and ability to read backend code (Go is a plus).
• Clear communicator, comfortable explaining agent logic, prompt structure, and execution flow to both technical and non-technical stakeholders, and presenting demos when required.