Senior AI Agent Engineer

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

WHAT YOU'LL DO

• Architect and build autonomous, multi agent systems that decompose goals into action sequences and execute them with bounded autonomy, not static prompt chains


• Develop RAG pipelines, tool calling, memory architectures, and orchestration layers that keep reasoning, retrieval, tool execution, and presentation cleanly separated


• Integrate AI agents with enterprise platforms including ERP, CRM, HRMS, SCM, ITSM, document systems, databases, and internal or third party APIs


• Design failure handling before deployment: hallucinations, infinite loops, tool failures, degraded retrieval, runaway costs, and rate limits, with retry logic, fallbacks, and bounded execution built in


• Build observability, monitoring, and cost/action ceilings so agents cannot operate unchecked, and failures are diagnosable without manual inspection


• Build internal AI operations tooling for orchestration, scheduling, governance, lifecycle management, and analytics


• Create dashboards and reporting that connect AI performance to operational efficiency, productivity, and ROI


• Train, fine tune, and deploy machine learning models where they serve as tools inside larger agentic systems


• Design configurable, multi tenant platforms that adapt across use cases and clients through strong abstractions rather than one off rebuilds


• Partner with product, business stakeholders, and engineering teams to convert manual processes into intelligent, autonomous workflows


• Mentor AI engineers and developers, run code reviews, and ensure production ready delivery of AI solutions


• Build feedback loops and evaluation harnesses so systems improve from real usage rather than degrade over time.

Experience

• 3+ years of professional software engineering, building and deploying enterprise AI agents, agentic systems, or intelligent automation platforms


• Demonstrated success shipping AI solutions with measurable business impact in production, not just proof of concept


• Hands on experience across at least a few of: customer support, sales, HR, finance, procurement, supply chain, IT service desk, document intelligence, or knowledge management automation


• Strong understanding of distributed systems, cloud native architecture, APIs, databases, and DevOps

• Bachelor's or master's degree in computer science, Artificial Intelligence, Software Engineering, or a related field


• Excellent analytical, problem solving, and communication skills


• Ability to work independently while collaborating across cross functional teams.

PREFERRED QUALIFICATIONS

• Experience with MCP (Model Context Protocol) and Agent to Agent (A2A) communication


• Experience building enterprise Digital Workforce or multi tenant agentic platforms


• Knowledge of Responsible AI, governance, compliance, and security frameworks


• Experience with automation platforms such as Zapier, Make, or n8n


• Knowledge of Computer Vision, OCR, or speech technologies


• Contributions to open source AI projects or technical communities

• Fuel Allowance


• Medical Insurance


• Free Lunch Facility (In-house)


• GYM Passport (Panel Gym's Free of Cost)


• Participatory Fund


• Market Competitive Salary


• Learning & Challenging Work Environment


• Amazing Work Culture


• Paid Time off


• Group Life Insurance


• Maternity Leaves and many more