Agentic AI Developer

100% Remote

Agentic AI Developer

Client is looking for experienced Agentic AI Developer to support enterprise automation and conversational AI initiatives within a cutting-edge AI Operations team. This team has successfully deployed Moveworks with an AI chatbot and is now expanding to create next-generation agentic AI experiences that span systems such as ServiceNow, Workday, and O365.

• AI / Agentic AI Experience
• Hands on keyboard engineer/developer
• Familiar with APIs, MCP, and A2A
• MCP an A2A is very new so this may be tricky
• Experience with ServiceNow, Moveworks, Google Agent Space, Workday, Aternity, Tanium, O365, and Postman is preferred

• From a culture perspective we re looking for someone Hungry, Humble, and Smart.

• Agentic AI Experience: This means working with autonomous AI agents capable of initiating, planning, and executing tasks beyond simple chatbots. Think of multi-step problem solvers that use tools like APIs, databases, or external systems to get work done.

Must have

• APIs: Creating, integrating, and orchestrating them (key to agentic systems).
• MCP (Multi-Channel Platform): Likely relates to systems that communicate across Slack, Teams, email, etc.
• A2A (Agent-to-Agent): Refers to coordination between AI agents for task completion this is new, so even adjacent experience is valuable.
• ServiceNow, Moveworks, Google Agent Space, Workday, Aternity, Tanium, O365, Postman tools/systems their AI solutions must interact with.

• 8+ years of hands-on software engineering or automation development experience.
• Demonstrated experience building or integrating AI agents or workflows using platforms like Moveworks, Google Agent Space, or similar.
• Proficiency in scripting or backend languages (e.g., Python, JavaScript, Node.js).
• Deep understanding of REST APIs and secure API orchestration across systems.
• Familiarity with enterprise IT ecosystems, including Workday, ServiceNow, O365, and endpoint monitoring tools.

• Experience working with agentic architectures or autonomous task agents (LangChain, ReAct, AutoGPT, etc.).
• AI/ML development experience or experience with AI Ops tools.

• Develop, test, and deploy autonomous AI agents capable of interacting with enterprise systems via APIs.
• Build multi-step workflows that agents can execute across systems (e.g., ServiceNow ? Workday ? Teams).
• Design and integrate with Multi-Channel Platforms (MCP) for seamless communication across Slack, Teams, and Email.
• Explore and develop early use cases of A2A (Agent-to-Agent) communication.
• Collaborate with infrastructure, security, and platform teams to ensure safe and scalable AI agent operations.
• Leverage tools like Postman, Tanium, Aternity, and ServiceNow for integration and debugging.