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YASH Technologies - Prompt Engineer - Artificial Intelligence / Machine Learning

YASH Technologies - Prompt Engineer - Artificial Intelligence / Machine Learning

YASH TechnologiesBangalore
30+ days ago
Job description

Key Responsibilities :

  • Develop and optimize prompts for a wide range of LLM applications including summarization, classification, translation, Q&A, and agent workflows.
  • Design, build, and maintain prompt libraries, reusable templates, and structured workflows to enable scalable GenAI deployments.
  • Apply prompt engineering techniques such as zero-shot, few-shot, and chain-of-thought prompting to influence and improve model behavior.
  • Evaluate prompt effectiveness using both manual reviews and automated metrics, implementing A / B testing frameworks for continuous improvement.
  • Debug and refine prompts to enhance model accuracy, safety, and alignment with organizational goals.
  • Identify and mitigate prompt injection risks by implementing robust security strategies.
  • Collaborate with cross-functional teams including data scientists, engineers, and product managers in an agile / scrum environment.
  • Stay up-to-date with advancements in prompt tuning, parameter-efficient fine-tuning (PEFT), and prompt chaining techniques.
  • Support continuous deployment processes and leverage DevOps tools to streamline AI workflows.

Required Skills & Qualifications :

  • Proficiency in at least one programming language such as Java, Python, or C / C++.
  • Hands-on experience working with generative AI tools, models, and frameworks such as Anthropic, OpenAI, Hugging Face, TensorFlow, PyTorch, or Jupyter.
  • Experience with Retrieval-Augmented Generation (RAG) models or similar architectures like Ragna or Pinecone.
  • Familiarity with cloud AI platforms such as Amazon Bedrock, AWS Lambda, Amazon SageMaker, or Amazon Comprehend.
  • Strong understanding of prompt engineering techniques and their impact on large language model behavior.
  • Experience designing, iterating, and optimizing prompts for diverse LLM use cases.
  • Knowledge of prompt evaluation strategies, including manual review, automatic metrics, and A / B testing.
  • Ability to create and manage prompt libraries, reusable templates, and structured workflows for scalability.
  • Awareness of prompt injection vulnerabilities and experience in implementing mitigation strategies.
  • Familiarity with prompt tuning, PEFT, and prompt chaining methods.
  • Experience with continuous deployment and DevOps tools; proficiency with Git preferred.
  • Proven ability to work effectively in agile / scrum teams and communicate across multiple stakeholders.
  • Preferred Qualifications :

  • Prior experience in building and deploying enterprise-level GenAI applications.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent interpersonal and communication skills for effective collaboration across teams.
  • (ref : hirist.tech)

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