Senior Platform Engineer: Agentic AI - Cogentiq

Fractal Labs
Bengaluru
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Python","FastAPI","API design","Docker","Kubernetes","CI/CD","MCP","LangGraph","CrewAI","Observability","Security"]

Lead platform integration and adoption of Cogentiq, Fractal’s enterprise agentic AI platform, across customer environments. You’ll build deep integrations with MCP-based connectors, deploy across Core, Runtime (Kubernetes) and Governance layers, and drive adoption with engineering and business teams, delivering production‑grade agent workflows, observability, security, and governance in multi-cloud settings.

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FursaFursa
Fractal Labs
Fractal Labs
4 months ago

Senior Platform Engineer: Agentic AI - Cogentiq

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Lead platform integration and adoption of Cogentiq, Fractal’s enterprise agentic AI platform, across customer environments. You’ll build deep integrations with MCP-based connectors, deploy across Core, Runtime (Kubernetes) and Governance layers, and drive adoption with engineering and business teams, delivering production‑grade agent workflows, observability, security, and governance in multi-cloud settings.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •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.

Key Requirements

  • •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.
Experience:Enterprise softwareAICloudLLMDeveloper platforms
Skills:PythonFastAPIAPI designDockerKubernetesCI/CDMCPLangGraphCrewAIObservabilitySecurity
Languages:English
Tech Stack:PythonFastAPIDockerKubernetesCI/CDMCPAPIsSDKs

Company Brief

Fractal Labs
Provides AI-driven analytics, decision intelligence, and engineering solutions to Fortune 500 companies, helping enterprises apply advanced analytics and machine learning for marketing, supply chain, finance, and customer experience transformation.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: New York, United States
Founded: 2000
WebsiteLinkedIn