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)