AI Engineer

We're Hiring – GenAI / Agentic AI Engineer

Aventra.AI is looking for a GenAI / Agentic AI Engineer who is passionate about building AI-powered platforms, integrating MCPs, developing plugins, and creating intelligent agent workflows.

Experience: 3+ Years

Key Responsibilities

• Integrate and troubleshoot MCPs with Cursor and Claude.

• Develop, maintain, and secure AI plugins.

• Perform SkillSpecter and Claude security scans, identify vulnerabilities, false positives, and security concerns, and drive remediation.

• Work with plugin owners to understand workflows, communicate security findings, and support PR closure.

• Conduct Claude evaluations to assess plugin quality, functionality, and security.

• Provide technical support for Cursor, Claude, Plugins, and MCPs across the organization.

• Conduct knowledge-sharing sessions and demos on AI tools, MCPs, plugins, security, setup, and troubleshooting.

• Develop an AI agent for an existing platform and integrate it with the portal.

• Analyze Swagger/API definitions and automate API reviews and results using skills from GitHub repositories.

• Work across Python and Angular components.

• Design and implement AI orchestration workflows involving agents, skills, tools, and services.

• Develop and enhance Agentic AI capabilities, including features requiring .NET development.

Required Skills

• Strong hands-on experience with Generative AI / Agentic AI

• Experience with MCP (Model Context Protocol)

• Hands-on experience with Claude and Cursor

• Plugin development and security experience

• Python development

• Angular experience

• .NET / C# development experience

• Experience building AI agents and orchestration workflows

• Strong understanding of APIs, Swagger/OpenAPI, GitHub repositories and integrations

• Ability to troubleshoot AI tools, integrations, plugins, and platform issues

• Good understanding of AI security, vulnerability assessment, and remediation

What We're Looking For

Someone who can work independently in a fast-paced environment, investigate technical issues, build AI solutions, collaborate with developers, and drive assigned tasks from investigation to completion.