Project description We are looking for a Senior Java & Python Developer with strong expertise in Graph Databases and hands-on experience integrating custom Agentic AI solutions into enterprise-grade applications. The ideal candidate is a seasoned engineer who thrives in complex systems, understands graph-based data modeling, and has a strong interest in applying agentic AI patterns to real-world business workflows. You will play a key role in designing, developing, and evolving scalable backend systems while collaborating closely with architecture, data, and AI-focused teams. Responsibilities Design, develop, and maintain enterprise-grade applications using Java and Python Architect and implement graph-based data models and queries to support complex domain relationships Collaborate with ML and Semantic engineers on designing and training dedicated AI Agents for specific business processes. Integrate custom Agentic AI solutions (e.g., autonomous agents, multi-agent systems, tool-using agents) into existing enterprise platforms Collaborate with stakeholders to translate business requirements into robust technical solutions Optimize application performance, scalability, and reliability in production environments Participate in technical design discussions, code reviews, and architecture decisions Contribute to continuous improvement of development workflows and SDLC processes Skills Must have Candidates must meet all of the following: Strong, in-depth Java expertise, including: JVM internals, concurrency, memory management Spring / Spring Boot or equivalent enterprise frameworks Professional Python experience, particularly for backend services, scripting, or AI-related integrations Hands-on experience with Graph Databases, such as: Neo4j, Amazon Neptune, JanusGraph, TigerGraph, or similar Graph data modeling and query languages (e.g., Cypher, Gremlin, SPARQL) Proven experience integrating custom Agentic AI solutions into enterprise applications, including: Autonomous or semi-autonomous agents Tool-using or workflow-oriented AI agents Production integration, not just experimentation or prototypes Solid understanding of enterprise application architecture, RESTful APIs, and system integration patterns Experience working with relational databases and modern persistence layers Strong problem-solving skills and ability to work with complex domains Nice to have The following are not required, but will be considered a strong advantage: Experience with agentic SDLC tools and processes, such as: AI-assisted development workflows Agent-driven testing, code generation, or requirement analysis Familiarity with microservices architectures and distributed systems Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS) Other Languages English: B2 Upper Intermediate Seniority Senior