Agentic AI Developer

You are looking for an Agentic AI Developer to join the team in Hyderabad. As an AI Developer with a software development background, you will need expertise in AI tools, multi-agent orchestration frameworks, RAG techniques, and Model Context Protocol (MCP). Proficiency in Python, .NET, and hands-on experience with coding agents and research agents is preferable. **Key Responsibilities:** - Build and optimize AI systems using semantic kernel, autogen, and multi-agent frameworks. - Develop solutions leveraging retrieval-augmented generation (RAG), preferably GraphRAG. - Integrate and optimize workflows using Model Context Protocol (MCP). - Write scalable and maintainable code in Python and .NET. - Design autonomous coding agents and research agents for problem-solving. - Research emerging AI tools and methods for practical application. - Debug, troubleshoot, and optimize AI systems for performance and reliability. **Qualifications Required:** - Experience: - 5+ years in software development. - 2+ years in AI tools/frameworks. - Technical Skills: - Proficiency in Python and .NET development. - Knowledge of multi-agent orchestration (e.g., semantic kernel, autogen). - Familiarity with RAG techniques (e.g., GraphRAG). - Expertise in Model Context Protocol (MCP). - Experience in developing autonomous coding agents and research agents. **Preferred Qualifications:** - Experience with distributed systems and cloud-based AI architectures. - Knowledge in NLP, knowledge graphs, and semantic reasoning. - Familiarity with Azure DevOps and Azure Cloud. If you are interested in this opportunity, please share your updated CV to venkatesh.ch@valuelabs.com. You are looking for an Agentic AI Developer to join the team in Hyderabad. As an AI Developer with a software development background, you will need expertise in AI tools, multi-agent orchestration frameworks, RAG techniques, and Model Context Protocol (MCP). Proficiency in Python, .NET, and hands-on experience with coding agents and research agents is preferable. **Key Responsibilities:** - Build and optimize AI systems using semantic kernel, autogen, and multi-agent frameworks. - Develop solutions leveraging retrieval-augmented generation (RAG), preferably GraphRAG. - Integrate and optimize workflows using Model Context Protocol (MCP). - Write scalable and maintainable code in Python and .NET. - Design autonomous coding agents and research agents for problem-solving. - Research emerging AI tools and methods for practical application. - Debug, troubleshoot, and optimize AI systems for performance and reliability. **Qualifications Required:** - Experience: - 5+ years in software development. - 2+ years in AI tools/frameworks. - Technical Skills: - Proficiency in Python and .NET development. - Knowledge of multi-agent orchestration (e.g., semantic kernel, autogen). - Familiarity with RAG techniques (e.g., GraphRAG). - Expertise in Model Context Protocol (MCP). - Experience in developing autonomous coding agents and research agents. **Preferred Qualifications:** - Experience with distributed systems and cloud-based AI architectures. - Knowledge in NLP, knowledge graphs, and semantic reasoning. - Familiarity with Azure DevOps and Azure Cloud. If you are interested in this opportunity, please share your updated CV to venkatesh.ch@valuelabs.com.