AI Automation Architect

We are seeking an Engineer to design, implement, and maintain autonomous AI systems (agents) that can reason, plan, and execute multi-step tasks with minimal human intervention. Unlike standard prompt engineers, you will build systems that manage their own memory, use external tools, and handle complex workflows.

Key Responsibilities

• Building Agentic Workflows: Developing autonomous agents capable of reasoning, planning, and executing multi-step tasks rather than just generating text.
• Implementing MCP Servers: Creating or configuring MCP servers to act as the "universal connector," allowing LLMs to seamlessly access enterprise tools, databases, and APIs (e.g., Jira, GitHub, databases).
• Enabling Tool Execution: Moving beyond passive AI to active AI by using MCP to enable models to trigger actions—like updating CRM data or launching marketing campaigns—securely.
• Orchestration & Context Management: Managing how agents share context and collaborate, ensuring they understand the "bigger picture" of a task while pulling relevant information from scattered sources.
• Governance & Security: Implementing safety, security, and compliance protocols (e.g., PII masking, access control) when agents act autonomously.

Core Skill Set

• Languages: Python (proficient)
• Frameworks: Familiarity with orchestration tools like HermesAI, Langgraph
• MCP Principles: Ability to define agentic environments for users (e.g. agents setup for tool generation based on RM (users) specification, no IT in the loop)
• LLMs: Experience with models like Claude, GPT, or others capable of tool calling

Qualification

• Bachelors Degree in Computer Science or any related discipline
• 5 years of progressive software development experience