Senior Platform Engineer: Agentic AI - Cogentiq

30 days ago

Pune, India +4 moreSenior

Responsibilities

Integrate Cogentiq with enterprise ecosystems using MCP-based connectors, APIs, SDKs, storage systems, ERP systems, SaaS applications, and internal tools.
Design and implement integrations with MCP Gateway, Agent Gateway, and Cogentiq SDKs.
Deploy, configure, and operate Cogentiq across its core, Kubernetes runtime, and governance layers.
Set up and maintain CI/CD pipelines for platform and agent deployments.
Build, configure, and optimize AI agents and agentic workflows using frameworks such as LangGraph and 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 with product, platform, and customer teams to resolve production issues.
Drive onboarding, enablement, and adoption of Cogentiq across internal and customer teams.

Strong Python development skills with object-oriented programming and system design fundamentals.
Experience building backend services with FastAPI or equivalent frameworks.
Strong API design and enterprise integration experience.
Hands-on experience with Docker and Kubernetes.
Experience deploying platforms using CI/CD pipelines.
Deep understanding of MCP-based connectors, APIs, SDK integrations, storage systems, and business applications.
Experience working with or integrating through Model Context Protocol.
Strong debugging and troubleshooting skills across distributed systems.
Ability to map business use cases to practical technical solutions.
Familiarity with AI-assisted development tools such as Cursor, Claude Code, and Copilot.
Exposure to LLMs, retrieval-augmented generation, and model orchestration concepts is preferred.
Experience with AWS, Azure, or GCP is preferred.
Understanding of observability, monitoring, and evaluation frameworks is preferred.
Prior experience with enterprise or developer platforms is preferred.

5,001-10,000 employees