Senior AI Agent Engineer: Build Autonomous Agents

iGate Technologies; Islamabad; On-site; PKR 2,600,000 - 5,200,000; Full time

Benefits offered by this job

Fuel allowance

Medical insurance

Free lunch facility (in-house)

GYM Passport (Panel Gym)

Participatory fund

Market competitive salary

Learning & challenging work

Amazing work culture

Paid time off

Group life insurance

Maternity leaves

Job summary

iGate Technologies seeks an experienced software engineer to architect and deploy autonomous multi-agent systems that decompose goals into action sequences and execute with bounded autonomy.

You will build RAG pipelines, tool calling, memory architectures, and orchestration layers, and integrate AI agents with ERP, CRM, HRMS, SCM, ITSM and other enterprise APIs. The role emphasizes safe failure handling, observability, and internal AI tooling to improve ROI.

Qualifications

• 3+ years in software engineering, building AI agents or automation platforms.
• Proven track record shipping AI solutions with measurable business impact in production.
• Experience across domains such as customer support, sales, HR, finance, procurement, supply chain, or IT service desk.
• Strong understanding of distributed systems, cloud-native architecture, APIs, databases, and DevOps.

Responsibilities

• Architect and build autonomous multi-agent systems that decompose goals into action sequences and execute with bounded autonomy.
• Develop RAG pipelines, tool calling, memory architectures, and orchestration layers with clean separation of reasoning, retrieval, tool execution, and presentation.
• Integrate AI agents with ERP, CRM, HRMS, SCM, ITSM, document systems, databases, and internal or third party APIs.
• Design failure handling with retry logic, fallbacks, and bounded execution to prevent hallucinations and runaway costs.
• Build observability, monitoring and cost ceilings so agents operate safely and diagnosably.
• Develop internal AI operations tooling for orchestration, scheduling, governance, lifecycle management, and analytics.
• Create dashboards and reporting connecting AI performance to operational efficiency, productivity, and ROI.
• Train, fine-tune and deploy ML models as tools inside larger agentic systems.
• Design configurable, multi-tenant platforms adaptable across use cases through strong abstractions.

Education

Bachelor's or Master’s in CS/AI/Software Engineering

Tools

Cloud platforms (AWS/GCP)

Docker

Kubernetes

Job description

iGate Technologies seeks an experienced software engineer to architect and deploy autonomous multi-agent systems that decompose goals into action sequences and execute with bounded autonomy.

You will build RAG pipelines, tool calling, memory architectures, and orchestration layers, and integrate AI agents with ERP, CRM, HRMS, SCM, ITSM and other enterprise APIs. The role emphasizes safe failure handling, observability, and internal AI tooling to improve ROI.