Senior AI Engineer

Airowire Networks PVT LTD; India; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Airowire Networks is hiring a Senior AI Engineer to design an AI-driven, end-to-end NOC workflow that automates the incident lifecycle—from ticket understanding to closure. You will integrate with observability and ITSM tools, build agentic incident copilot capabilities, and develop an Open-Source LLM & RAG stack for robust operations.

Join a team working on multi-vendor networks, security, and AI-powered automation, with open-source models like Llama, Mistral and Qwen, and tools such as

Qualifications

• Experience building production AI-driven NOC workflows.
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Responsibilities

• Architect multi-agent workflows for NOC automation and incident management.
• Develop tool-using AI agents.
• Implement planning and execution workflows.
• Manage agent memory and state.
• Build reliable AI-driven operational workflows.
• Train, tune and evaluate models for incident triage, summarization, anomaly detection, and recommendation ranking.
• Build evaluation pipelines.
• Monitor model performance and reliability.
• Implement fallback strategies and AI guardrails.

Skills

LangGraph

Haystack

DSPy

Tool-using agents

Planning and execution

Memory and state

Chunking and indexing

Reranking

Evaluation pipelines

Model serving

vLLM

Guardrails

Fallback strategies

Tools

Mistral

Qwen

OpenSearch

Qdrant

Weaviate

MLflow

Weights & Biases

AI evaluation frameworks

Job description

Airowire Networks is a leading network consulting and system integration firm with a presence across India, Ireland, Germany, the UK, US and Singapore.

We design and deliver end-to-end enterprise and mid-market solutions across IT infrastructure, cloud and cybersecurity, powered by Artificial Intelligence.

Why Join Us?

• Join a company that values your growth and provides continuous learning opportunities.
• Work with global IT, security and cloud leaders to deliver business solutions for customers worldwide.
• Be part of a dynamic and fast-paced environment focused on personal and professional development.
• Enjoy competitive compensation with opportunities for professional growth and career advancement.

About the Role

Airowire is hiring a Senior AI Engineer with strong networking expertise to build an agentic NOC operations platform using open-source and frontier AI models and tools.

You will design and develop an AI-driven, end-to-end NOC workflow that automates the incident lifecycle—from ticket understanding, triage and diagnosis to change planning, controlled execution, validation and closure.

The role involves deep integration with observability and ITSM platforms such as SolarWinds, LogicMonitor, LinkEye, ELK, Prometheus, Grafana, ServiceNow, Jira and Zoho, alongside multi-vendor network environments.

What You’ll Build

Agentic Incident Copilot

Build an end-to-end AI incident management workflow that can:

• Understand incidents from ITSM and observability platforms.
• Classify intent and severity.
• Identify impacted services and sites.
• Correlate incidents with network topology, recent configuration changes and telemetry.
• Generate RCA hypotheses with confidence scoring.
• Develop remediation plans with risk checks.
• Execute approved remediation steps through network automation tools.
• Validate network health after changes.

Open-Source LLM & RAG Stack for NOC

Build an AI and RAG platform using open-source models and enterprise knowledge sources.

Responsibilities include:

• Work with models such as Llama, Mistral and Qwen.
• Build RAG over runbooks, knowledge bases, device standards and historical incidents.
• Implement tool calling for CLI checks, configuration differences and policy validation.
• Track hallucination and error rates.
• Implement AI response guardrails.
• Build evaluation frameworks for AI responses.

Observability-Integrated AI Workflows

Develop AI workflows integrated with observability platforms such as:

• LinkEye
• LogicMonitor
• ELK
• Grafana

Work on:

• Event correlation
• Operational insights

Closed-Loop Network Automation

Build controlled automation workflows using:

• Inventory: Nautobot, NetBox or similar
• Execution: Nornir, Netmiko, NAPALM, Ansible or similar

Implement:

• Automated execution for approved changes.
• Complete audit trails covering decisions, commands, outputs and outcomes.

Key Responsibilities

AI & Agentic Systems

• Architect multi-agent workflows for NOC automation and incident management.
• Develop tool-using AI agents.
• Implement planning and execution workflows.
• Manage agent memory and state.
• Build reliable AI-driven operational workflows.
• Train, tune and evaluate models for:
  • Incident triage
  • Summarization
  • Anomaly detection
  • Recommendation ranking
• Build evaluation pipelines.
• Monitor model performance and reliability.
• Implement fallback strategies and AI guardrails.

Network Automation

• Develop network automation workflows using Python and APIs.
• Integrate network automation tools with AI agents.
• Implement safe execution and rollback workflows.
• Automate network troubleshooting and operational tasks.
• Automate incident triage and diagnosis.
• Correlate network events and alerts.
• Build automated remediation capabilities for approved incident types.

Observability & ITSM Integration

• Integrate observability platforms with AI workflows.
• Build alert ingestion and correlation pipelines.
• Integrate ITSM platforms into automated incident workflows.
• Automate ticket lifecycle activities.

Security & Governance

Implement secure AI and network automation practices including:

• Vault-based secrets retrieval.
• Role-Based Access Control (RBAC).
• Auditability.
• Change governance.
• Rollback controls.

Operational Dashboards

Design operational dashboards to track metrics such as:

• MTTD
• MTTR
• False-positive rate
• Collaborate with NetOps, SecOps and SRE teams.
• Support production rollout of AI-driven NOC workflows.
• Ensure reliability and operational readiness.
• Contribute to production-grade AI and automation platforms.

Required Skills

AI & Agentic Systems

• LangGraph
• Haystack
• DSPy
• Tool-using agents
• Planning and execution loops
• Memory and state management
• Chunking and indexing
• Reranking
• Evaluation pipelines
• Model serving and inference optimization
• vLLM
• TGI
• Guardrails
• Fallback strategies

Open-Source AI Stack

Experience with open-source AI models such as:

• Mistral
• Qwen

Knowledge of vector databases such as:

• OpenSearch
• Qdrant
• Weaviate

Experience with experimentation and evaluation tools such as:

• MLflow
• Weights & Biases
• AI evaluation frameworks

Networking Expertise

Strong L2/L3 networking knowledge, including:

• VLAN
• STP
• OSPF
• BGP
• ACL
• NAT
• VPN
• High Availability

Experience with multi-vendor network environments including:

• Cisco
• Juniper
• Fortinet
• Aruba/HPE
• Ruckus
• Arista

Strong troubleshooting capabilities across:

• Packet loss
• Network failover issues
• Python
• APIs
• Async workflows
• Event-driven architecture
• NAPALM
• Ansible
• Docker
• CI/CD
• GitOps

Observability & ITSM

Experience with observability platforms such as:

• LogicMonitor
• ELK
• Grafana

Knowledge of:

• Event correlation
• ITSM integration
• ServiceNow
• Jira

Security & Governance

• Vault-based secrets management
• RBAC
• Auditability
• Change governance

Preferred Qualifications

• Experience building production AIOps platforms.
• Familiarity with streaming and event-bus technologies such as:
  • Kafka
  • RabbitMQ
  • NATS
• SRE mindset.
• Understanding of:
  • SLO
  • SLI
  • Incident command
  • Postmortems

Experience

• 5+ years in Networking and ML/Automation
• 3+ years in applied AI/LLMs in production
• Proven experience in NOC operations, incident management and network troubleshooting

Success Metrics

Success in the role will be measured through improvements in AI-assisted NOC operations, including:

• Reduction in alert noise through correlation and deduplication.
• Reduction in MTTR for recurring incidents.
• Increased adoption of AI-assisted incident triage summaries.
• Increased auto-remediation for low-risk incident categories.
• Fully auditable and policy-controlled change execution.

Why This Role Matters

This role sits at the intersection of Artificial Intelligence, networking, AIOps, NOC automation and network operations.

You will help build intelligent operational workflows capable of understanding network incidents, identifying probable root causes, recommending remediation and safely executing approved actions.