Job Overview:

We are looking for a highly experienced AI Engineer with deep expertise in Prompt Engineering, Large Language Models (LLMs), and RAG architectures. The ideal candidate will have hands-on experience designing and deploying prompt-driven solutions in production environments and a strong command over LLMs, Python programming, and NLP evaluation techniques. This role is key to enabling intelligent document processing, secure generative AI applications, and enterprise-scale LLM integration.

Key Responsibilities:

Design and deploy prompt-based solutions for LLM-driven applications in production environments.
Develop, test, and optimize prompt structures to align with real-world business use cases and document requirements.
Work with LLM APIs (e.g., OpenAI, Anthropic) and frameworks to implement context-aware and secure prompt logic.
Leverage Python for prompt automation, data preprocessing (using Pandas or similar), and API integration.
Implement or contribute to fine-tuning pipelines and retrieval-augmented generation (RAG) solutions.
Evaluate prompt performance using metrics such as BLEU, ROUGE, semantic similarity, and human-in-the-loop validations.
Address LLM-related risks including prompt injection, output filtering, and response consistency.
Translate high-level document processing requirements into structured and logical prompt flows.
Collaborate with cross-functional teams to align AI capabilities with enterprise needs.

Must-Have Skills:

10+ years overall IT experience.
At least 2 successful LLM-based projects in production, focused on prompt engineering.
Strong knowledge of prompt structures, context management, and token optimization strategies.
Proficiency in Python, with experience in:
LLM APIs and prompt engineering libraries
Data handling with Pandas
Hands-on experience with at least one RAG or fine-tuning pipeline.
Familiarity with prompt evaluation techniques and metrics (BLEU, ROUGE, semantic similarity).
Deep understanding of LLM security concerns, including prompt injection, output formatting, and limitations.

KBC Technologies Group

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Prompt Engineer