
Prompt Engineer
2 days ago
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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