AI Automation Engineer

Navigatorhr; Saddar; On-site; PKR 2,678,000 - 3,794,000; Full time

Job summary

Navigatorhr seeks an AI Automation Engineer to design, build, and deploy AI-powered applications, intelligent workflows, and AI agents. You will work with LLMs, AI APIs, and automation platforms to translate business requirements into scalable solutions.

You will own end-to-end development from conception to deployment, monitor performance, and optimize costs while maintaining security and best practices in data handling and AI governance.

Qualifications

• 4+ years of relevant AI development or software engineering experience.
• Hands-on with LLMs and Generative AI technologies.
• Experience integrating OpenAI/Claude/Gemini APIs and workflow platforms.

Responsibilities

• Develop and deploy AI-powered applications, chatbots, and AI agents.
• Build LLM-based solutions using APIs and platforms like OpenAI, Claude, Gemini.
• Design, build, and maintain automated workflows with n8n/Make/Zapier.
• Integrate AI solutions with CRM, HRMS, ERP, and other systems.
• Test, deploy, monitor, and optimize AI apps; ensure security and governance.

Skills

LLMs

Generative AI

Python

JavaScript

REST APIs

Webhooks

JSON

AI chatbots

Workflow automation

API integration

Education

Bachelor's degree in CS/SE/AI

Tools

n8n

Make

Zapier

Job description

AI AUTOMATION ENGINEER

Generative AI | AI Agents | Business Process Automation

Location Civic Center Bahria Town Civic Center Bahria Town, Rawalpindi
Timing 10 am to 7 pm moday to friday

Experience 4+ Years

Job Type Full-Time

Salary Range PKR 240,000–340,000/month

Department

Technology / AI & Automation

Position Overview

We are looking for a skilled and innovative AI Automation Engineer to design, develop, and implement AI-powered applications, intelligent automation workflows, chatbots, and AI agents. The ideal candidate will have hands‑on experience with Large Language Models (LLMs), AI APIs, workflow automation platforms, and system integrations. This role will take ownership of AI initiatives from understanding business requirements through development, deployment, monitoring, and continuous improvement.

Key Responsibilities

AI Development & Implementation

• Develop and deploy AI-powered applications, chatbots, virtual assistants, and intelligent AI agents.
• Build LLM-based solutions using platforms and APIs such as OpenAI, Claude, and Gemini.
• Apply prompt engineering techniques to improve the accuracy, consistency, and usefulness of AI outputs.
• Develop AI solutions for business operations, customer support, internal processes, and workflow optimization.

AI Automation & Workflow Development

• Design, build, and maintain automated workflows using n8n, Make, Zapier, or similar platforms.
• Identify repetitive manual processes and convert them into reliable automated workflows.
• Develop AI agents capable of handling multi-step tasks and business processes.
• Integrate AI solutions with CRM, HRMS, ERP, communication platforms, and other business applications.

API Integration & Technical Development

• Integrate third-party AI tools and APIs into existing applications and systems.
• Work with REST APIs, webhooks, JSON, authentication protocols, and data exchange workflows.
• Develop custom scripts and integrations using Python or JavaScript.
• Work with databases and ensure secure, reliable communication between connected systems.

Testing, Deployment & Optimization

• Test, troubleshoot, and optimize AI applications, agents, and automation workflows.
• Monitor system performance, reliability, accuracy, and operational costs.
• Identify and resolve integration issues, workflow failures, and unexpected AI outputs.
• Apply appropriate data security, access controls, and responsible AI practices.
• Maintain clear technical documentation for developed solutions.

Research & Innovation

• Stay informed about emerging AI technologies, tools, frameworks, and automation trends.
• Evaluate AI platforms and recommend solutions based on business requirements.
• Collaborate with management and department heads to identify and prioritize AI implementation opportunities.

Required Technical Skills & Experience

• 4+ years of relevant experience in AI development, AI automation, backend development, or related software engineering roles.
• Practical knowledge of Large Language Models (LLMs) and Generative AI technologies.
• Hands‑on experience integrating OpenAI, Claude, or Gemini APIs.
• Experience with at least one workflow automation platform: n8n, Make, or Zapier.
• Proficiency in Python or JavaScript for custom development and integrations.
• Good understanding of REST APIs, webhooks, JSON and API authentication.
• Practical experience building AI chatbots, assistants, or AI agents.
• Understanding of prompt engineering, databases, and third‑party system integrations.
• Ability to independently develop, test, deploy, and maintain automation solutions.

Preferred / Additional Skills

• Experience with LangChain, LangGraph, CrewAI, or OpenAI Agents SDK.
• Knowledge of Retrieval-Augmented Generation (RAG) and vector databases such as Pinecone, ChromaDB, or FAISS.
• Familiarity with FastAPI, Flask, or Node.js.
• Knowledge of Docker, cloud deployment, and application hosting.
• Experience with AI-powered document processing, OCR, and data extraction.
• Familiarity with MCP (Model Context Protocol).

Education

Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related discipline. Candidates with equivalent practical experience and a strong portfolio of relevant AI projects may also be considered.

Candidate Expectations

• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to understand business requirements and translate them into practical technical solutions.
• Comfortable working independently and taking ownership of projects.
• Good communication and collaboration skills.
• Willingness to demonstrate previously developed AI applications, deployed workflows, or relevant project work.