AI Engineer

About the job

Job Summary: We are seeking a highly skilled and creative AI Engineer with strong expertise in Generative AI, Large Language Models (LLMs), and Prompt Engineering. The role focuses on designing, developing, and optimizing intelligent AI-driven systems that enhance automation, improve user interactions, and deliver scalable business solutions. The ideal candidate will have a deep understanding of transformer architectures, prompt design, and RAG (Retrieval-Augmented Generation) pipelines, with hands-on experience building and deploying models using platforms like OpenAI, Anthropic, Hugging Face, and Azure OpenAI. Key Responsibilities: • Design, test, and refine prompts to optimize performance of LLMs such as GPT-4, Claude, Gemini, and open-source models. • Collaborate with cross-functional teams (product, design, engineering, marketing) to develop AI-driven features and tools. • Conduct experiments and evaluate to test the accuracy, safety, and quality of AI-generated outputs, learning best practices along the way. • Develop context-aware prompts, multi-turn dialogues, and dynamic prompt chaining for diverse applications. • Build prompt libraries and templates for different business use cases (search, summarization, code generation, Q&A). • Conduct A/B testing to assess model accuracy, creativity, factual reliability, and bias mitigation. • Automate prompt workflows and integrate prompt chains with APIs and tool stacks. • Fine-tune models or build retrieval-augmented generation (RAG) pipelines when needed. • Stay curious and keep learning about the latest advancements in generative AI, NLP, and prompt engineering through hands-on practice and research. Required Skills & Qualifications: • Bachelor's degree in computer science. • 2 years of experience working with LLMs, AI systems, NLP frameworks. • Strong understanding of transformer models and training. • Experience using OpenAI (ChatGPT, GPT API), Anthropic, Cohere, Hugging Face, or similar platforms. • Strong proficiency in Python, with hands-on experience using leading AI frameworks and libraries such as LangChain, LlamaIndex, and others commonly used in LLM and NLP development. • Familiarity with prompt tuning, zero-shot and few-shot learning, and LLM evaluation. Background in UX, technical writing, or content design is a plus.

Requirements

• Generative AI expertise
• Large Language Models
• Prompt Engineering
• Python programming

Qualifications

• Bachelor's degree in computer science
• 2 years of experience with LLMs and AI systems

Preferred Technologies

• Generative AI expertise
• Large Language Models
• Prompt Engineering
• Python programming

About the company

JRD Systems specialize in AI Engineered Solutions, focusing on the development and optimization of intelligent AI-driven systems that enhance automation and improve user interactions.