ai engineer for agentic AI platforms

The team is building an AI platform centered on agentic capabilities and knowledge-graph-based solutions.

• Design and implement agentic AI systems, multi-step AI workflows, and platform components using large language models
• Build, maintain, and optimize knowledge graphs and graph-based data structures for complex reasoning systems
• Build robust, production-grade integrations using AWS cloud infrastructure and native AI services
• Contribute to the architecture, testing, debugging, and deployment of scalable AI solutions
• Collaborate with engineers and Project Managers to deliver projects and evaluate emerging AI technologies, memory models, and agentic approaches

• Hands-on experience building AI agents, multi-step workflows, or agentic architectures, with a deep understanding of their underlying mechanics
• Hands-on experience designing and building end-to-end enterprise knowledge graph architectures, including expertise in graph databases and query languages such as AWS Neptune, Neo4j, Gremlin, or Cypher
• Strong professional experience with AWS, including architecting and implementing cloud-based systems
• Hands-on experience with OpenAI APIs and AWS Bedrock
• Advanced programming proficiency in Python or an equivalent core language
• Experience designing and integrating production-ready APIs and microservices
• Practical experience with knowledge graphs and graph databases
• Будет плюсом: RAG, tool use, function calling, planning algorithms, agent memory, evaluation strategies, AI agent orchestration frameworks and tools, deploying, monitoring, and operating complex AI systems in production

• Competitive salary
• Flexible schedule
• Benefits package including medical insurance and sports
• Corporate social events
• Professional development opportunities
• Well-equipped office