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AI / ML Prompt Engineer

AI / ML Prompt Engineer

JRD SystemsErode, IN
1 day ago
Job description

Job Summary :

We are seeking a highly skilled and creative AI Engineer with strong expertise in Generative AI, Large Language Models (LLMs), and Prompt Engineering. The role focuses on designing, developing, and optimizing intelligent AI-driven systems that enhance automation, improve user interactions, and deliver scalable business solutions.

The ideal candidate will have a deep understanding of transformer architectures, prompt design, and RAG (Retrieval-Augmented Generation) pipelines, with hands-on experience building and deploying models using platforms like OpenAI, Anthropic, Hugging Face, and Azure OpenAI.

Key Responsibilities :

  • Design, test, and refine prompts to optimize performance of LLMs such as GPT-4, Claude, Gemini, and open-source models.
  • Collaborate with cross-functional teams (product, design, engineering, marketing) to develop AI-driven features and tools.
  • Conduct experiments and evaluate to test the accuracy, safety, and quality of AI-generated outputs, learning best practices along the way.
  • Develop context-aware prompts, multi-turn dialogues, and dynamic prompt chaining for diverse applications.
  • Build prompt libraries and templates for different business use cases (search, summarization, code generation, Q&A).
  • Conduct A / B testing to assess model accuracy, creativity, factual reliability, and bias mitigation.
  • Automate prompt workflows and integrate prompt chains with APIs and tool stacks.
  • Fine-tune models or build retrieval-augmented generation (RAG) pipelines when needed.
  • Stay curious and keep learning about the latest advancements in generative AI, NLP, and prompt engineering through hands-on practice and research

Required Skills & Qualifications :

  • Bachelor’s degree in computer science.
  • 2 years of experience working with LLMs, AI systems, NLP frameworks.
  • Strong understanding of transformer models and training.
  • Experience using OpenAI (ChatGPT, GPT API), Anthropic, Cohere, Hugging Face, or similar platforms.
  • Strong proficiency in Python, with hands-on experience using leading AI frameworks and libraries such as LangChain, LlamaIndex, and others commonly used in LLM and NLP development.
  • Familiarity with prompt tuning, zero-shot and few-shot learning, and LLM evaluation.
  • Background in UX, technical writing, or content design is a plus.

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