This role requires a deep understanding of large language models. The primary focus will be on prompt engineering, constituting approximately 80% of the role. The remaining 20% will involve coding in Python using frameworks like Langchain to support prompt development and implementation.
Key responsibilities:
1. Design, develop, and implement innovative prompting strategies to enhance the performance of LLM-powered applications
2. Stay up-to-date with the latest advancements in natural language processing and LLM technology
3. Contribute to the development of best practices and guidelines for prompt engineering
4. Collaborate with data scientists, engineers, and product teams to understand project requirements and translate them into effective prompts
5. Conduct thorough experimentation and analysis to refine prompts and optimize model performance
1. Completed bachelors degree in computer science, engineering, or a related field
Annual CTC: ₹ 2,80,000 /year
Dataknobs is an AI company. We make data usable and useful using knobs. Using knobs, we create data, augment data, anonymize data, and make it usable. To make data useful, we enable experimentation with knobs. Using knobs, one can also publish/share insight to different channels.
