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)