Prompt engineer
hyderabad, andhra pradesh, India • Posted June 07, 2026
Job Type:
Full-time
Location:
hyderabad, andhra pradesh
Posted:
June 07, 2026
Category:
Other-General
Application Deadline:
July 17, 2026
Role Description
Job Description: Prompt Engineer
Employment Type: Full-time
Work Type: Hybrid
Duration: 12 months (Annual Renewal)
Location: Gurgaon or Hyderabad
ABOUT THE ENGAGEMENT:
Aceolution is hiring for the work that supports the development, evaluation, and safety calibration of frontier generative AI systems used by hundreds of millions of users worldwide.
KEY RESPONSIBILITIES
As per the engagement scope: tuning and testing client APIs, and running projects within the prompt-engineering pod. The work is likely to include agentic and tool-calling components. The day-to-day workflow runs from morning triage of overnight evaluation outputs, through hypothesis-driven prompt iteration, into regression testing and production deployment.
Pull and review overnight QA logs to identify discrepancies between the client tool orchestration layer’s outputs and the human-validated baseline.
Categorize errors: hallucinations (model invented a rule), context misses (failed local l...
Employment Type: Full-time
Work Type: Hybrid
Duration: 12 months (Annual Renewal)
Location: Gurgaon or Hyderabad
ABOUT THE ENGAGEMENT:
Aceolution is hiring for the work that supports the development, evaluation, and safety calibration of frontier generative AI systems used by hundreds of millions of users worldwide.
KEY RESPONSIBILITIES
As per the engagement scope: tuning and testing client APIs, and running projects within the prompt-engineering pod. The work is likely to include agentic and tool-calling components. The day-to-day workflow runs from morning triage of overnight evaluation outputs, through hypothesis-driven prompt iteration, into regression testing and production deployment.
Pull and review overnight QA logs to identify discrepancies between the client tool orchestration layer’s outputs and the human-validated baseline.
Categorize errors: hallucinations (model invented a rule), context misses (failed local l...
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