Senior Platform Engineer: Agentic AI - Cogentiq

About this role

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Skills you'll use

What you'll do

• Platform Integration & Deployment
• Integrate Cogentiq with enterprise ecosystems using MCP-based connectors, APIs, storage systems, and business applications (ERP, SaaS, internal tools)
• Design and implement integrations using MCP Gateway, Agent Gateway, and Cogentiq SDKs
• Deploy, configure, and operate Cogentiq across Core, Runtime (Kubernetes), and Governance layers
• Set up and maintain CI/CD pipelines for platform and agent deployments
• Agent & Workflow Engineering
• Build, configure, and optimize AI agents and agentic workflows on the Cogentiq platform
• Implement orchestration patterns using agentic frameworks (e.g., LangGraph, CrewAI)
• Translate business problems into scalable, production-grade agentic solutions
• Reliability, Observability & Troubleshooting

Who can apply

• Strong Python development skills with solid OOP and system design fundamentals
• Experience building backend services using FastAPI or equivalent frameworks
• Strong API design and integration experience
• Hands-on experience with Docker and Kubernetes (K8s)
• Experience deploying platforms using CI/CD pipelines
• Deep understanding of enterprise connectors:
• MCP-based connectors
• APIs & SDK-based integrations
• Storage systems and business applications
• Experience working with or integrating via Model Context Protocol (MCP)

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