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    Job · 21334813

    FULLTIME

    AI Prompt Engineer (India)

    RE

    remoexperts

    Not specified · onsite · Posted 4d ago

    Sourced fromFoundit
    Not disclosed3–5 yrsfulltimeNot specified

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    Section · 01

    About this role

    AI Prompt Engineer Jobs in India (Remote, Full-Time) — Rex.zone

    Design, test, and optimize prompts and evaluation workflows that improve LLM performance in real production pipelines. You will collaborate with engineers and researchers to build prompt libraries, run A/B tests, define rubrics, and improve reliability, groundedness, and safety across assistants, copilots, agents, and RAG systems.

    Key Responsibilities

    • Own prompt lifecycle management: writing, debugging, versioning, and prompt library maintenance
    • Design prompt evaluation plans using rubrics for accuracy, completeness, instruction following, tone, and policy compliance
    • Create RLHF-style preference/ranking data with clear rationales to support instruction tuning workflows
    • Translate product requirements into system prompts, developer prompts, and user prompt patterns
    • Improve grounding and reduce hallucinations using RAG strategies and citation/traceability constraints
    • Create annotation guidelines and support QA evaluation (edge cases, escalation paths, consistency checks)
    • Monitor quality metrics (pass rate, inter-annotator agreement, regression failures) across releases
    • Support safety alignment: red-teaming prompts, jailbreak resistance, and sensitive data leakage prevention

    Required Qualifications

    • 3+ years in software engineering, ML/NLP workflows, or applied LLM prompt engineering
    • Strong structured writing for precise instructions and multi-step constraints
    • Experience with LLM evaluation: rubrics, pairwise ranking, golden sets, adversarial testing
    • Familiarity with RLHF concepts and human feedback loops
    • Working knowledge of Python and experimentation tooling (notebooks, scripts, JSON, APIs)

    Preferred Qualifications

    • Experience with RAG pipelines, vector search, embeddings evaluation, and grounded answer validation
    • Knowledge of content safety labeling, policy taxonomy, and prompt-based guardrails
    • Experience with LLM observability/eval tooling (regression suites, eval harnesses)

    Compensation

    Competitive hourly rate: $30–$50/hr

    FAQs

    • What does an AI prompt engineer do They design and optimize prompts, build templates/system instructions, run evaluations and A/B tests, and create feedback data to improve reliability and safety.
    • Is this role remote Yes, this posting is marked Remote and designed for distributed collaboration while targeting candidates based in India.

    Sourced from foundit

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    Section · 02

    Skills

    RLHF conceptscitation traceabilityhuman feedback loopsLLM evaluation rubricspairwise rankingapisJSONAdversarial TestingPythonRAG strategies

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