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Platform Integration & Adoption Engineer – 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
.
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 business problems into
scalable, production-grade agentic solutions
Reliability, Observability & Troubleshooting
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
Enablement & Adoption
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
Required Skills & Experience
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.)
Nice to Have
Exposure to
LLMs, RAG, and model orchestration
concepts
Experience with cloud platforms (
AWS, Azure, or GCP
)
Understanding of
observability, monitoring, and evaluation
frameworks
Prior experience working on
enterprise platforms or developer platforms
Outcomes & Impact
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!
Hiring Related Queries
India:
HiringsupportIndia@fractal.ai
Outside India:
HiringsupportROW@fractal.ai
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