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 language or cultural nuance), boundary failures (gray-area cases the model decided too rigidly).
Form hypotheses on why the tool failed — cluttered context, missing few-shot examples, outdated RAG content — and refactor prompts to test the hypotheses.
Add negative constraints, update few-shot examples, request RAG layer updates as needed.
Run regression tests against the Golden Dataset before deploying any prompt change. Confirm fixes do not silently regress other workflows.
Deploy approved prompt changes to the live orchestration layer and monitor output for stability.
Author hypothesis docs, contribute to weekly RCA reports, and participate in client calibration sessions.
MUST-HAVE SKILLS AND EXPERIENCE
Hands-on production experience with at least one major LLM API — Gemini, Open AI, or Anthropic. Specific Gemini API experience is strong-to-have but not mandatory; the patterns are highly transferable and a robust candidate from another LLM platform.
Must be able to discuss prompt strategies fluently — context wind
📌 Generative ai engineer (Hyderabad)
🏢 Aceolution
📍 Hyderabad
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