Prompt Engineer

12 hours ago

Hyderabad, India algoleap Full time

Job Title: Prompt Engineer – Gen AI Implementation

Experience Required: 4+ years total, with at least 2 years in prompt engineering or Gen AI-related work

Job Summary
We are looking for a highly motivated and technically skilled Prompt Engineer to join our Gen AI implementation team. The ideal candidate will have hands-on experience in designing, testing, and optimizing prompts for large language models (LLMs), along with strong Python programming skills. You will work in a fast-paced, collaborative environment to build intelligent solutions that drive business innovation.

Key Responsibilities

  • Design, develop, and refine prompts for various Gen AI use cases using LLMs (e.g., GPT, Claude, Gemini).
  • Collaborate with data scientists, product managers, and developers to integrate Gen AI capabilities into applications.
  • Write Python scripts to automate prompt testing, evaluation, and data preprocessing.
  • Analyze model outputs and iterate on prompt strategies to improve performance and reliability.
  • Stay up to date with the latest advancements in Gen AI, NLP, and prompt engineering techniques.
  • Document prompt libraries, test cases, and best practices for internal knowledge sharing.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 3–4 years of total experience in software development or AI/ML projects.
  • Minimum 2 years of hands-on experience in prompt engineering or working with Gen AI models.
  • Proficiency in Python, including experience with libraries like LangChain, OpenAI SDK, or Hugging Face.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications

  • Experience with vector databases and retrieval-augmented generation (RAG).
  • Familiarity with LLM evaluation frameworks and prompt tuning techniques.
  • Exposure to cloud platforms (Azure, AWS, GCP) and MLOps pipelines.
  • Prior experience in deploying Gen AI solutions in production environments.

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