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

Show more

Show less