Senior Platform Engineer: Agentic AI - Cogentiq

About Cogentiq (Fractal’s Agentic AI Platform): Cogentiq is Fractal’s secure, scalable, enterprise agentic AI platform that enables teams to build, test, deploy, monitor agents and multi‐agent workflows with strong observability, evaluation, guardrails and RBAC across any cloud or LLM framework. It includes a no/low‐code development console, Agent & MCP Gateways, and an enterprise marketplace for reusable agents, tools, connections and guardrails.

As a Senior Platform Engineer – Agentic AI, you will play a critical role in integrating, deploying, and scaling Cogentiq, Fractal’s enterprise-grade agentic AI platform, across complex customer environments. You will enable production‐ready AI agent workflows by building deep integrations, deploying the platform across core, runtime, and governance layers, and driving adoption across engineering and business teams.

This role sits at the intersection of platform engineering, agentic systems, and enterprise integration.

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

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

Ensure platform reliability, observability, security, and governance compliance

Troubleshoot integration, deployment, and runtime issues across distributed systems

Collaborate closely with product, platform, and customer teams to resolve production issues

Drive onboarding, enablement, and adoption of Cogentiq across internal and customer teams

Act as a technical partner to stakeholders, helping them leverage agentic AI effectively

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)

Strong debugging and troubleshooting skills across distributed systems

Ability to understand business use cases and map them to practical technical solutions

Familiarity with AI-assisted development tools (Cursor, Claude Code, Copilot, etc.)

Faster enterprise onboarding and platform integration

Scalable, production-ready AI agent deployments

Increased adoption and enterprise usage of Cogentiq

High reliability, security, and governance compliance in production systems

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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