The Role
Design and optimize prompts for LLMs, build RAG pipelines with LangChain or LlamaIndex, develop evaluation frameworks for performance/cost/latency, collaborate with domain experts, and implement structured outputs (JSON/YAML).
Summary Generated by Built In
Responsibilities:
• Design, optimize, and iterate prompts for LLMs including GPT, Claude, and Gemini to achieve high-quality outputs
• Build RAG (Retrieval-Augmented Generation) pipelines using LangChain or LlamaIndex for enterprise applications
• Develop evaluation frameworks to measure prompt performance, cost, and latency
• Collaborate with domain experts to tailor outputs for industries like legal, medical, and finance
• Troubleshoot LLM limitations and implement structured output solutions using JSON/YAM
Requirements
• Bachelor's Degree in Computer Science, AI, or related discipline
• 2+ years of hands-on experience working with LLMs and prompt engineering
• Proficient in Python; experience with LangChain, LlamaIndex, and LLM APIs (OpenAI, Anthropic, Google)
• Strong understanding of prompt design techniques (chain-of-thought, few-shot, structured outputs)
• Familiarity with vector databases (Pinecone, Weaviate, Milvus) is an advantage
• Portfolio of prompt engineering projects required
Skills Required
- Bachelor's Degree in Computer Science, AI, or related discipline
- 2+ years of hands-on experience working with LLMs and prompt engineering
- Proficient in Python
- Experience with LangChain and LlamaIndex
- Experience with LLM APIs (OpenAI, Anthropic, Google/Gemini)
- Strong understanding of prompt design techniques (chain-of-thought, few-shot, structured outputs)
- Portfolio of prompt engineering projects
- Familiarity with vector databases (Pinecone, Weaviate, Milvus)
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The Company
What We Do
Madre Integrated Engineering is a multinational triangular employment and outsourcing corporation headquartered in Qatar, specializing in providing global talent for projects and offering facility management solutions.
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