Senior AI Engineer (LLM/RAG/LangChain/LangGraph)

We are looking for an experienced Senior AI Engineer who is passionate about designing and developing scalable agentic AI solutions. This role will focus on leveraging LangChain/LangGraph frameworks, RAG evaluation, vector databases, and advanced data engineering practices, alongside Python and AWS expertise, to deliver innovative AI-driven systems. Responsibilities Design and implement agentic AI systems, including autonomous and multi-agent architectures, optimized for production-grade environments Utilize LangChain and LangGraph frameworks in designing interactive AI-driven systems Apply RAG (Retrieval-Augmented Generation) evaluation techniques to improve AI efficiency and performance Develop scalable, high-performance backend solutions in Python optimized for data-driven AI applications Drive cloud-based deployments and manage infrastructure, leveraging AWS services for scalability and reliability Integrate vector database technologies to enable advanced data retrieval and storage capabilities for LLM workflows Optimize AI-driven systems by developing and implementing efficient algorithms and data structures Analyze, debug, and troubleshoot system bottlenecks, ensuring smooth operation of deployed AI solutions Collaborate with cross-functional teams to ensure seamless integration of the AI systems into larger platforms Manage end-to-end AI product development lifecycles, from concept to deployment Document system architectures, workflows, and processes for knowledge sharing and maintenance Stay up-to-date with advancements in AI and machine learning to continuously innovate and refine solutions Requirements 3+ years of experience in AI/ML engineering or data science roles Expertise in designing agentic AI systems, including autonomous or multi-agent architectures Strong programming background in Python and AI/ML frameworks Proficiency with LangChain and LangGraph frameworks for building advanced AI tools Solid experience with AWS and deploying scalable AI systems in cloud environments Background in machine learning methodologies, algorithms, and data structures design Competency in leveraging relational and non-relational database systems, especially vector databases, for AI applications Strong analytical skills with a focus on solving complex, real-world problems efficiently Capability to work in fast-paced environments with a solutions-driven mindset Excellent command of written and spoken English (B2+ level) Nice to have Familiarity with .NET for data integration or adjacent system development