Senior .NET & Python Developer

Job description

• 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 • Mandatory Skills Description: • 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 Skills Description: • 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)