Senior AI Agent Engineer
At a glance
Senior AI Engineering role at iGATE Technology. Islamabad · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build multi-agent systems that break goals into bounded actions and carry them out against business data and infrastructure
- Develop retrieval, memory, tool-use and orchestration components, keeping each part of the agent workflow clearly separated
- Connect agents to enterprise platforms, databases and APIs, then design retries and fallbacks for common failure cases
- Set up monitoring, cost limits and diagnostic tools, and build internal systems for scheduling, governance and lifecycle management
- Create evaluation loops and performance dashboards, improve agents using real usage, and mentor engineers through reviews
What you bring
- At least three years in software engineering, including production delivery of enterprise agents or intelligent automation
- A track record of launching production AI systems with measurable business results, beyond proof-of-concept work
- A bachelor's or master's degree in computer science, AI, software engineering or a related discipline
- Working knowledge of distributed systems, cloud architecture, APIs, databases and DevOps
Who this fits
This senior role suits an engineer who can deliver production agent systems and collaborate with product, business and engineering teams. The position is based on-site in Islamabad.
From the employer
We're hiring a Senior AI Agent Engineer to design, build, and scale production grade AI agents that automate real business operations, not prototypes or demos. You will own the full lifecycle of agentic systems: architecture, development, deployment, monitoring, and continuous improvement, with a strong focus on reliability, security, and measurable business impact. This role sits at the intersection of applied AI engineering and systems architecture, building autonomous systems that take a goal as input and execute against real data and infrastructure to produce meaningful, reliable outcomes.
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.
Requirements
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
Benefits
⛽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