Cogentiq

SeniorPlatformEngineer:AgenticAI

Bengaluru, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Platform Engineer: Agentic AI at Cogentiq. Skills: Platform Engineering, Agentic AI, Enterprise Integration. Integrate Cogentiq with enterprise ecosystems. Design and implement integrations”

What You'll Achieve.

Faster enterprise onboarding; Faster platform integration; Scalable AI agent deployments; Production-ready AI agent deployments; Increased adoption; Enterprise usage of Cogentiq; High reliability in production systems; High security in production systems; High governance compliance in production systems

Industry & Context.

Problems you'll solve

Troubleshoot integration, deployment, and runtime issues; Map business use cases to technical solutions

What They're Looking For.

Must Have

Strong Python development skills, OOP fundamentals, System design fundamentals, Backend services development, API design, API integration, Docker, Kubernetes (K8s), CI/CD pipelines deployment, Enterprise connectors, MCP-based connectors, APIs & SDK-based integrations, Storage systems integration, Business applications integration, Model Context Protocol (MCP) integration, Debugging skills, Troubleshooting skills, Distributed systems troubleshooting, Business use case mapping to technical solutions, AI-assisted development tools familiarity

Nice to Have

LLMs exposure, RAG exposure, Model orchestration concepts exposure, Cloud platforms experience (AWS, Azure, or GCP), Observability frameworks understanding, Monitoring frameworks understanding, Evaluation frameworks understanding, Enterprise platforms experience, Developer platforms experience

What You'll Do.

Integrate Cogentiq with enterprise ecosystems

Design and implement integrations

Set up and maintain CI/CD pipelines

and optimize AI agents

Implement orchestration patterns

Translate business problems

Ensure platform reliability

Ensure platform observability

Ensure platform security

Ensure governance compliance

Troubleshoot integration issues

Troubleshoot deployment issues

Troubleshoot runtime issues

Act as technical partner

How You'll Work.

Team & Collaboration

Collaborate closely with product teams; Collaborate closely with platform teams; Collaborate closely with customer teams; Act as a technical partner to stakeholders

Full Job Description

It's fun to work in a company where people truly BELIEVE in what they are doing! _We 're committed to bringing passion and customer focus to the business._ ## Platform Integration & Adoption Engineer – Cogentiq **About[Cogentiq ](http://fractal.ai/products/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**. ## Role Summary 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**. ## 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 * Implement orchestration patterns using agentic frameworks (e.g., LangGraph, CrewAI) * Translate bu

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