Python Engineer / Agentic AI & MCP Orchestration

Pennington, New Jersey 08534 Posted February 11th, 2026 Looking for more job opportunities? Click here! Job Type: Full Time Job Category: IT Role: Python Engineer – Agentic AI & MCP Orchestration Location: Jersey City, NJ/ Pennington, NJ FTE only Job Description Must Have Technical/Functional Skills Technical Skills Strong hands-on experience in Python for building production-grade applications. Experience developing agentic AI applications (multi-agent workflows, tool-using agents, autonomous task execution). Expertise with AI orchestration frameworks (agents, tools, planners, workflow controllers). Practical experience setting up and configuring Model Context Protocol (MCP) servers. Ability to implement and integrate MCP Clients with external systems and AI models. Proficiency working with LLMs, prompt engineering patterns, and structured output handling. Experience with API integration, event-driven interactions, and tool/skill registration for agents. Strong understanding of asynchronous Python (asyncio, concurrency patterns). Familiarity with vector stores, embeddings, RAG pipelines, and memory architectures (nice to have). Experience working with CI/CD, Git, testing frameworks (pytest), and secure coding practices. Functional Skills Ability to translate business problems into agent-driven automation workflows. Strong debugging and troubleshooting of distributed agent behavior and orchestration flows. Familiarity with governance, model safety constraints, and responsible AI usage patterns. Strong documentation habits for API schemas, MCP interface definitions, and agent lifecycle behavior. Effective communication with architects, product teams, and business stakeholders. Comfort working in Agile environments with rapid experimentation and iteration. Roles Responsibilities Design and develop Python-based agentic applications capable of orchestrating autonomous and semi-autonomous workflows. Build, configure, and maintain MCP servers to expose tools, data sources, or domain capabilities to LLM agents. Implement and configure MCP clients to interact with multiple MCP tools, AI models, and external systems. Develop orchestration logic to coordinate multi-agent behaviors, tool execution, validations, and decision routing. Integrate LLMs with internal systems using structured prompts, tool definitions, and safe execution patterns. Optimize agent workflows for reliability, performance, security, and cost. Create reusable frameworks for agent tools, context handling, memory, and reasoning cycles. Collaborate with architecture, platform, and product teams to align on engineering best practices. Implement observability: logging, tracing, and monitoring of agent reasoning steps and tool calls. Document MCP schemas, agent behaviors, tool interfaces, and operability guidelines. Required Skills DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER SRE ENGINEER (SITE RELIABILITY/RESILIENCY)