Senior Java + Python Developer

Project description

We are looking for a Senior .NET & 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 .NET 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 .NET expertise, including: o C#, ASP.NET Core o Microservices, and cloud-native engineering patterns.
• Professional Python experience, particularly for backend services, scripting, or AI-related integrations
• Hands-on experience with Graph Databases, such as: o Neo4j, Amazon Neptune, JanusGraph, TigerGraph, or similar o Graph data modeling and query languages (e.g., Cypher, Gremlin, SPARQL)
• Proven experience integrating custom Agentic AI solutions into enterprise applications, including: o Autonomous or semi-autonomous agents o Tool-using or workflow-oriented AI agents o 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: o AI-assisted development workflows o Agent-driven testing, code generation, or requirement analysis • Familiarity with microservices architectures and distributed systems • Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS)