AI Engineer
Job Description & How to Apply Below
Job Description What you’ll do in the role
- Design, test, and refine prompts for diverse AI applications/products, ensuring accuracy, relevance, and engagement.
- Collaborate with product team, data scientists, tech teams to align prompts with product features/ requirements and user needs.
- Analyze AI-generated responses to improve model behavior, consistency, and performance.
- Take ownership of Prompt Management:
Continuous refinement, storage, versioning, conformity across various environments of prompts. - Conduct A/B testing to evaluate and enhance prompt effectiveness and response quality.
- Develop and document best practices for scalable prompt engineering across different projects/products.
- Optimize prompts working closely with tech teams to improve system performance.
- Stay informed on advancements in Gen AI space, share developments and best practices with the extended team.
- 2-4 years of hand-on experience building solution in Machine learning, NLP, AI applications, or related fields.
- Expertise in prompt engineering for large language models (LLMs) such as OpenAI’s GPT, Google’s Gemini, or Claude.
- Strong analytical and problem-solving abilities to optimize AI responses.
- Excellent time management skills to juggle multiple competing priorities.
- Strong critical thinking and attention to detail.
- Ability to work collaboratively with cross-functional teams.
- Experience with AI frameworks like Retrieval-Augmented Generation (RAG), NL to SQL etc.
- Proficiency in Python
- Experience with AI model performance evaluation or AI annotations.
- Previous experience in AI-driven chatbot development or conversational AI platforms.
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