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