Senior Platform Engineer (Agentic AI)

Location: Bengaluru, India

Company

hirify.global develops Cogentiq, a secure and scalable enterprise agentic AI platform for building, deploying, monitoring, and governing AI agents and multi-agent workflows.

What you will do

• Integrate Cogentiq with enterprise ecosystems through MCP-based connectors, APIs, SDKs, storage systems, ERP, SaaS, and internal business applications.
• Design and implement integrations using the MCP Gateway, Agent Gateway, and Cogentiq SDKs.
• Deploy, configure, and operate the platform across core, Kubernetes runtime, and governance layers.
• Build and optimize AI agents and agentic workflows using orchestration frameworks such as LangGraph and CrewAI.
• Set up CI/CD pipelines and ensure platform reliability, observability, security, and governance compliance.
• Drive onboarding and adoption while troubleshooting distributed-system issues with product, platform, and customer teams.

Requirements

• Strong Python development skills with solid object-oriented programming and system design fundamentals.
• Backend development experience with FastAPI or equivalent frameworks, including strong API design and integration experience.
• Hands-on experience with Docker, Kubernetes, and CI/CD-based platform deployments.
• Experience with enterprise connectors, APIs, SDK integrations, storage systems, and business applications.
• Experience working with or integrating through the Model Context Protocol (MCP).
• Strong debugging and troubleshooting skills across distributed systems, plus the ability to map business use cases to practical technical solutions.

Nice to have

• Exposure to LLMs, RAG, and model orchestration.
• Experience with AWS, Azure, or GCP.
• Understanding of observability, monitoring, and evaluation frameworks.
• Experience with enterprise or developer platforms.
• Familiarity with AI-assisted development tools such as Cursor, Claude Code, or Copilot.

Culture & Benefits

• Work in a setting focused on customer impact, platform adoption, and enterprise AI delivery.
• Collaborate with product, platform, engineering, and customer stakeholders.
• Contribute to scalable production deployments with an emphasis on reliability, security, and governance.