Senior Platform Engineer – Agentic AI

Fractal

Senior Platform Engineer tasked with integrating and scaling Fractal's AI platform, Cogentiq, across customer environments. Key responsibilities include deployment, troubleshooting, and driving adoption within teams.

Posted 5/14/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

Distributed SystemsDockerERPKubernetesPython

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.)

Benefits

Comp & perks

Health insurance
401(k) retirement plans
Paid time off
Flexible work arrangements
Professional development opportunities

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonOOPsystem designFastAPIAPI designDockerKubernetesCI/CDMCP-based connectorsdebugging

Soft Skills

collaborationproblem-solvingcommunicationtechnical partnershipenablementadoption