Senior .Net + 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 the continuous improvement of development workflows and SDLC processes. Mandatory Skills Candidates must meet all of the following requirements: Strong, in-depth .NET expertise, including: C# ASP.NET Core Microservices and cloud-native engineering patterns Professional experience with Python , 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 database technologies Strong knowledge of graph data modeling and query languages, including: 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-grade integrations (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 the ability to work within complex business domains. Nice-to-Have Skills Experience with Agentic SDLC tools and processes, including: AI-assisted development workflows Agent-driven testing, code generation, or requirements analysis Familiarity with microservices architectures and distributed systems. Experience with containerization technologies such as Docker and Kubernetes . Experience working with cloud platforms, particularly AWS .