LLM Prompt Architect & Quality Engineer

IT Consultancy & Services Pte Ltd; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

IT Consultancy & Services Pte Ltd in Singapore is seeking a Prompt Engineer to design and maintain structured prompts, templates, and output schemas that align with product and stakeholder requirements. You will specify outputs, constraints, and completion criteria for deliverables, documenting assumptions and edge cases.

The role emphasizes applying LLM best practices, testing prompt behavior, reducing hallucinations, and implementing Prompt Ops with version control, documentation, and release

Qualifications

• Clear, unambiguous instruction writing.
• Experience creating structured prompts and templates.
• Knowledge of GPT/LLMs and instruction-context behavior.
• Familiarity with prompting techniques (zero-shot, few-shot, chain-of-thought).
• Experience with prompt versioning and change control.

Responsibilities

• Design and maintain structured prompts, templates, and output schemas aligned to product and stakeholder requirements.
• Define expected outputs, constraints, and completion criteria for deliverables; document assumptions, edge cases, and limitations.
• Apply LLM best practices (context management, instruction hierarchy, few-shot examples) to improve accuracy and consistency.
• Test and debug prompt behavior through iterative experimentation; analyze failures and reduce hallucinations and variability.
• Create evaluation approaches (test sets, rubrics, human review workflows) and track quality over time.
• Implement Prompt Ops practices: version control, change management, documentation, and release processes for prompt assets.

Skills

Structured prompts

Prompt templates

Output formats

LLMs knowledge

Prompt versioning

Documentation

Job description

IT Consultancy & Services Pte Ltd in Singapore is seeking a Prompt Engineer to design and maintain structured prompts, templates, and output schemas that align with product and stakeholder requirements. You will specify outputs, constraints, and completion criteria for deliverables, documenting assumptions and edge cases.

The role emphasizes applying LLM best practices, testing prompt behavior, reducing hallucinations, and implementing Prompt Ops with version control, documentation, and release