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.
Skills Required
cypher , Docker, Microservices, Kubernetes, Neo4j, Relational Databases, .NET, Restful Apis, Sparql, graph databases , Aws, TigerGraph, Python
