LLM Decode
Prompt Engineer
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Orchha, Madhya Pradesh 472246, India
Work mode:
Onsite
Published on:
7 August 2026
What they need
We're looking for a creative and technically skilled Prompt Engineer to design, test, and optimize prompts that power AI-driven products and workflows. You'll collaborate closely with AI engineers, product managers, and customers to improve the quality, accuracy, and reliability of LLM-based applications.
Key Responsibilities
- Design, write, and optimize prompts for Large Language Models across diverse use cases.
- Develop prompt libraries and reusable prompt templates for enterprise applications.
- Evaluate AI responses and continuously improve prompt performance for accuracy, consistency, and safety.
- Collaborate with AI Engineers to build Retrieval-Augmented Generation (RAG) and AI Agent workflows.
- Create structured prompts using function calling, JSON outputs, and chain-of-thought alternatives where appropriate.
- Test prompts across multiple LLMs, including OpenAI, Anthropic, Gemini, and open-source models.
- Document prompt engineering best practices and maintain prompt versioning.
- Analyze user feedback and AI performance metrics to enhance response quality.
- Stay up to date with the latest advancements in Generative AI and prompt engineering techniques.
Required Skills
- Strong understanding of Large Language Models (LLMs) and Generative AI concepts.
- Experience writing and optimizing prompts for AI applications.
- Familiarity with OpenAI, Anthropic, Gemini, or similar LLM platforms.
- Basic knowledge of Python or JavaScript for testing and automating prompts.
- Understanding of Retrieval-Augmented Generation (RAG) and AI Agents is a plus.
- Strong analytical thinking and problem-solving skills.
- Excellent written communication and attention to detail.
Preferred Qualifications
- Experience using tools such as LangChain, LangGraph, LlamaIndex, or Promptfoo.
- Familiarity with prompt evaluation, AI safety, and hallucination mitigation.
- Experience working with structured outputs, function calling, and agentic AI workflows.
- Portfolio of prompt engineering projects, AI experiments, or GenAI applications.
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