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:
- C#, ASP.NET Core
- 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:
- Neo4j, Amazon Neptune, JanusGraph, TigerGraph, or similar
- Graph data modeling and query languages (e.g., 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 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:
- AI-assisted development workflows
- Agent-driven testing, code generation, or requirement analysis
- Familiarity with microservices architectures and distributed systems
- Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS)
Other
Languages: English: B2 Upper Intermediate
Seniority: Senior