Principal Network Automation Engineer

Mployee.me; Bengaluru; On-site; INR 4,200,000 - 7,000,000; Full time

Job summary

Mployee.me is seeking a Network Automation AI Engineer in Bengaluru to design, build, and operate AI agents automating network operations across a large enterprise network estate. You will blend traditional automation with agentic AI technologies to create production-grade, safety-gated automation.

You will implement prompts, integrate with ServiceNow and Itential, and ensure secure, auditable agent activity while delivering scalable backend services and CI/CD driven deployments.

Qualifications

• 10+ years overall Python development experience and async services (FastAPI, asyncio).
• LLM application development: prompt engineering, tool calling, RAG, multi-turn state management.
• Familiarity with agent frameworks (Google ADK, LangChain, LangGraph, Semantic Kernel) and MCP/A2A protocols.
• Networking fundamentals: Cisco IOS/IOS-XE, LAN/WAN/wireless, routing, switching, firewalls.
• Experience with ITSM tooling (ServiceNow) and network orchestration platforms (Itential, NSO).
• Docker + CI/CD (GitHub Actions or equivalent).
• Cloud experience (GCP Vertex AI, Cloud Run, BigQuery, Secret Manager).
• Strong security practices for automation that can modify production infrastructure (least privilege, approval gating, audit logging).

Responsibilities

• Design and build AI agents that interact with network infrastructure via MCP or tool integrations.
• Write and iterate prompts grounding LLM behavior with tool schemas; enforce anti-hallucination guidelines.
• Integrate agents with ServiceNow for incident/change/CMDB data and with Itential for workflows.
• Develop human-in-the-loop approval workflows for production state changes with strict guardrails.
• Develop backend services (Python, FastAPI) exposing agents via REST/A2A/JSON-RPC.
• Containerize and deploy agents (Docker, Cloud Run) with per-agent config and secrets management.
• Instrument agents with observability (OpenTelemetry, structured logging, Cloud Logging).
• Collaborate with network engineers to translate runbooks into agent capabilities.
• Own RBAC/token propagation and security reviews for agent-to-tool/user auth.
• Test agents against live/staging MCP servers and iterate on prompts based on traces.
• Document architecture decisions and operational runbooks for the agent fleet.

Skills

AI Integration

Network Design

IT Networking

Security Engineering

SD-WAN

Orchestrate

Tools

Google ADK

LangChain

LangGraph

Semantic Kernel

MCP

A2A

Job description

Job Summary

Were looking for a Network Automation AI Engineer to design, build, and operate AI agents that automate network operations, ITSM, and lifecycle management across a large enterprise network estate. Youll combine traditional network automation (Cisco, Itential, ServiceNow) with modern agentic AI (LLM orchestration, MCP tool integration, RAG) to build production-grade, safety-gated automation.

Responsibilities

• Design and build AI agents (using frameworks like Google ADK, LangChain, or similar) that interact with network infrastructure via Model Context Protocol (MCP) servers or custom tool integrations
• Write and iterate on system prompts/instructions that ground LLM behavior in real tool schemas, enforce anti-hallucination discipline, and avoid unsafe automation
• Integrate agents with ITSM platforms (ServiceNow) for incident, change, and CMDB data, and with network orchestration platforms (Itential) for workflow execution
• Build human-in-the-loop approval workflows for any agent capability that can modify production network state (e.g., plan approve/reject apply patterns), with strict identity/authorization guardrails
• Develop and maintain backend services (Python, FastAPI) exposing agents via REST/A2A/JSON-RPC protocols
• Containerize and deploy agents (Docker, Cloud Run, CI/CD via GitHub Actions) with per-agent configuration, environment isolation, and secrets management
• Instrument agents with observability (OpenTelemetry, structured logging, Cloud Logging) for tool I/O, session traces, and audit trails
• Collaborate with network engineering teams to translate operational runbooks (EOL/EOS tracking, device lifecycle, LAN/WAN/wireless health checks, config change validation) into agent capabilities
• Own RBAC/token propagation and security review for agent-to-tool and agent-to-user authentication
• Test agents against live/staging MCP servers, validate tool schemas, and iterate on prompt engineering based on real session traces
• Document architecture decisions, known gotchas, and operational runbooks for the agent fleet

Required Qualifications

• Overall 10 Years and strong Python skills; experience building async services (FastAPI, asyncio)
• Hands-on experience with LLM application development: prompt engineering, tool/function calling, RAG, multi-turn session/state management
• Familiarity with agent frameworks (Google ADK, LangChain, LangGraph, Semantic Kernel, or similar) and agent-to-agent/tool protocols (MCP, A2A)
• Networking fundamentals: Cisco IOS/IOS-XE, LAN/WAN/wireless architecture, routing, switching, firewalls
• Experience with ITSM tooling (ServiceNow) and network orchestration platforms (Itential, NSO, or similar)
• Docker containerization and CI/CD pipeline experience (GitHub Actions or equivalent)
• Cloud platform experience (GCP preferred: Vertex AI, Cloud Run, BigQuery, Secret Manager)
• Strong understanding of security practices for automation that can modify production infrastructure (least privilege, approval gating, audit logging)

Preferred Qualifications

• Experience with LiteLLM or multi-provider LLM routing/fallback strategies
• Familiarity with Itential Automation Platform / Operations Manager workflows
• Experience with vector search / RAG pipelines (Vertex AI Search, embeddings, citation grounding)
• Background in network automation scripting (Netmiko, NAPALM, Genie/pyATS, Ansible)
• Experience designing safety guardrails for write-capable AI agents (change management, approval workflows)
• Exposure to OpenTelemetry/observability tooling and FinOps/cost tracking for LLM usage

Skills

• Agent Development Lifecycle (ADLC)
• AI Integration
• Automation Technology
• Cloud Based Services
• Computer Programming
• Configuration Management (CM)
• Engineering Technology
• IP Address Management (IPAM)
• IT Networking
• Load Balancers
• Network Design
• Operational Technology (OT)
• Orchestrate
• Packet Switching
• Routing and Switching
• Security Engineering
• Software-Defined Networking Wide Area Network (SD-WAN)
• System Monitors
• Wireless System Design
• Zero Trust Architecture

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