Senior Platform Engineer

Responsibilities

• Integrate Cogentiq with enterprise ecosystems using MCP-based connectors, APIs, and business applications
• Design and implement integrations using MCP Gateway, Agent Gateway, and Cogentiq SDKs
• Deploy, configure, and operate the platform across Core, Runtime (Kubernetes), and Governance layers
• Set up and maintain CI/CD pipelines for platform and agent deployments
• Build, configure, and optimize AI agents and agentic workflows using frameworks like LangGraph or CrewAI
• Ensure platform reliability, observability, security, and governance compliance
• Troubleshoot integration and runtime issues across distributed systems
• Drive onboarding and technical enablement for internal and customer teams

Requirements

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

Preferred Qualifications

• Exposure to LLMs, RAG, and model orchestration concepts
• Experience with cloud platforms such as AWS, Azure, or GCP
• Understanding of observability, monitoring, and evaluation frameworks
• Prior experience working on enterprise or developer platforms

About the Company

Fractal is an AI-driven company dedicated to powering every human decision in the enterprise. Through expertise in artificial intelligence, design, and engineering, Fractal creates cutting-edge solutions to complex business problems, helping clients navigate their end-to-end data-to-decision journey.