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

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

Languages