Overview
We are seeking an experienced Agentic AI Engineer to join a pioneering team focused on developing next-generation AI solutions. This fully remote role involves designing, developing, and deploying advanced AI applications, collaborating closely with engineers and data scientists on cutting-edge projects involving large language models, Knowledge Graphs, and AI agents. The successful candidate will have the chance to shape transformative solutions that enhance automation and data understanding.
Responsibilities
- Design and develop innovative Agentic AI applications and workflows that address complex business challenges.
- Build, optimize, and maintain Knowledge Graphs using Neo4j to enhance data interconnectedness and retrieval capabilities.
- Develop GraphRAG and semantic search solutions to improve information retrieval and contextual understanding.
- Integrate large language models (LLMs) with enterprise data sources to enable intelligent automation and reasoning.
- Collaborate closely with engineering and data teams to ensure the delivery of robust, scalable, and production-ready AI systems.
- Stay updated with the latest advancements in AI and incorporate best practices into project development.
- Participate in code reviews, testing, and documentation to maintain high-quality standards.
Requirements
- Proven experience in AI engineering with expertise in Python development.
- Familiarity with graph databases, specifically Neo4j, and Knowledge Graphs.
- Hands-on experience with Retrieval-Augmented Generation (RAG) architectures and AI agents.
- Solid understanding of cloud platforms such as AWS, Azure, or GCP.
- Experience with frameworks like LangGraph, LangChain, CrewAI, AutoGen, or similar is desirable.
- Track record of deploying Generative AI solutions into production environments.