Gen AI Prompt Engineer

0 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Job Type

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Job Description

Job Title: Gen AI Prompt EngineerFull-timeHybrid role (Vishakhapatnam/Hyderabad)

Role Summary

We are seeking a Gen AI Prompt Engineer to design, develop, and optimize prompts for Large Language Models (LLMs). The role focuses on improving AI responses, automating workflows, and enabling consistent and accurate outputs for business use cases. The ideal candidate combines strong communication skills, structured thinking, and a deep understanding of AI behavior.

Key Responsibilities

  • Create, refine, and test prompts to improve LLM performance across various use cases.
  • Convert business requirements into structured prompt flows, templates, and reusable prompt libraries.
  • Perform A/B testing of prompts and evaluate output accuracy, tone, and consistency.
  • Analyze AI-generated results, identify gaps or hallucinations, and fine-tune prompts accordingly.
  • Collaborate with product, engineering, and data teams to integrate prompts into applications (UI/API/RPA).
  • Maintain prompt documentation, versioning, and change logs.
  • Stay current with latest Gen AI advancements, prompt engineering frameworks, and LLM best practices.

Required Skills

  • Excellent communication and writing ability; strong command over language.
  • Hands-on experience with Gen AI platforms such as:
  • OpenAI (GPT-4/5), Anthropic Claude, Google Gemini, etc.
  • Ability to evaluate model outputs critically and iterate effectively.
  • Strong analytical thinking and problem-solving skills.

Preferred Skills (Nice To Have)

  • Basic scripting knowledge (Python/JavaScript) for AI API integration.
  • Experience working with vector databases/embeddings (RAG).
  • Understanding of few-shot prompting, chain-of-thought prompting, and instruction tuning.

Attributes

  • Detail-oriented, structured, experimental mindset.
  • Comfortable iterating fast and working in ambiguous/problem-solving environments.
  • Ability to work cross-functionally with product, engineering, UX, and business teams.

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