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)