Senior AI / LLM Engineer (RAG & AI Agents)
Budget: $20.0
FIXED /
⭐ 5.00 (182)
United States
machine-learning, natural-language-processing, artificial-intelligence, artificial-neural-networks, tensorflow, python, deeplearn.js, data-science, neural-networks
We’re looking for a skilled Senior AI / LLM Engineer to join our growing team and help design, build, and optimize intelligent systems powered by modern language models. In this role, you will lead the development of advanced AI agents and Retrieval-Augmented Generation (RAG) systems, driving innovation across our platform.
You will work extensively with Python to develop scalable backend services and automation workflows, enabling seamless integration of AI capabilities into real-world applications. A strong focus will be placed on performance, reliability, and system scalability.
As part of a collaborative, cross-functional environment, you’ll partner with product, engineering, and data teams to deliver impactful AI-driven solutions. You’ll also play a key role in leveraging tools such as LangChain and Claude to build robust, production-ready LLM applications.
Key Responsibilities:
• Design and implement AI agents and RAG-based architectures
• Develop and maintain backend systems using Python
• Build and optimize LLM-powered workflows and automation pipelines
• Integrate APIs and external tools to enhance AI capabilities
• Collaborate with cross-functional teams to deliver scalable solutions
• Continuously improve system performance, reliability, and efficiency
Requirements:
• Proven experience in AI/LLM engineering and backend development
• Strong proficiency in Python and automation frameworks
• Hands-on experience with RAG systems and AI agents
• Familiarity with tools like LangChain and Claude
• Solid understanding of scalable system design and performance optimization
• Ability to work in a fast-paced, collaborative environment
If you’re passionate about building cutting-edge AI systems and pushing the boundaries of what’s possible with LLMs, we’d love to hear from you.
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