Senior Software Developer AI-First / Vibe Coding

About the Role

We are looking for a Senior Software Developer who uses AI tools as a core part of the development process to build high-quality production-ready software quickly and efficiently. The ideal candidate combines strong software engineering fundamentals with hands-on experience in AI-assisted development RAG GraphRAG graph databases and LLM integrations.

Key Responsibilities

• Design and develop scalable web applications APIs and AI-powered solutions
• Use tools such as Cursor Windsurf GitHub Copilot ChatGPT and Claude in daily development
• Build and optimize RAG GraphRAG knowledge graph and semantic search solutions
• Integrate LLMs with enterprise systems and data sources
• Review test and improve AI-generated code
• Contribute to automated testing CI CD and deployment processes
• Collaborate with cross-functional teams and support AI-assisted engineering best practices

Requirements

• 5 years of professional software development experience
• Strong proficiency in C Python TypeScript JavaScript Java or Go
• Experience building and deploying production web applications and APIs
• Hands-on experience with graph databases such as Neo4j Amazon Neptune GraphDB or Memgraph
• Strong experience with RAG solutions and LLM integrations
• Solid knowledge of REST APIs SQL and NoSQL databases Git Docker and cloud platforms
• Strong problem-solving system design and communication skills

Preferred Experience

• GraphRAG and knowledge graphs Vector databases such as Qdrant Pinecone Weaviate Milvus or pgvector LangChain LangGraph CrewAI AutoGen or Semantic Kernel Next js React FastAPI ASP NET Core or Node js PostgreSQL Redis Kubernetes and Terraform Azure OpenAI AWS Bedrock Google Vertex AI or Azure AI Foundry

5+ years of professional software development experience. Strong proficiency in C#, Python, TypeScript/JavaScript, Java, or Go. Experience building and deploying production web applications and APIs. Hands-on experience with graph databases such as Neo4j, Amazon Neptune, GraphDB, or Memgraph. Strong experience with RAG solutions and LLM integrations. Solid knowledge of REST APIs, SQL and NoSQL databases, Git, Docker, and cloud platforms. Strong problem-solving, system design, and communication skills. Preferred Experience GraphRAG and knowledge graphs Vector databases such as Qdrant, Pinecone, Weaviate, Milvus, or pgvector LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel Next.js, React, FastAPI, ASP.NET Core, or Node.js PostgreSQL, Redis, Kubernetes, and Terraform Azure OpenAI, AWS Bedrock, Google Vertex AI, or Azure AI Foundry