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Job Closed

AI Engineer (Agentic AI & RAG)

  • Source: LinkedIn
  • Pebble Intelligent Solutions
  • Remote
  • Dubai
  • Full-Time
  • Mid level

Job Description

Junior AI Engineer (AI Agents / RAG)

📍 Location: Lahore, Pakistan

💼 Employment Type: Full-Time

📈 Experience: 1–2 Years

💰 Salary: PKR 100,000 – 130,000 per month

About Pebble Intelligent Solutions

Pebble Intelligent Solutions is a UAE-based AI product company focused on building scalable enterprise automation platforms and intelligent software solutions. We develop proprietary SaaS products and custom AI applications that help businesses streamline workflows, automate decision-making, and accelerate digital transformation across multiple industries.

As part of our growing engineering team, you will work on real-world AI products that move beyond prototypes into production environments.

About the Role

We are looking for a motivated Junior AI Engineer to join our team in Lahore. This role is ideal for someone who enjoys building AI-powered applications using modern frameworks and wants hands-on experience developing production-ready agentic systems.

You will work on Retrieval-Augmented Generation (RAG) pipelines, AI agents, multi-agent workflows, and enterprise automation solutions while collaborating closely with product and engineering teams.

Key Responsibilities

  • Design, build, and maintain AI-powered applications and agentic systems.
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.
  • Build multi-agent workflows using LangGraph and related frameworks.
  • Integrate Large Language Models (LLMs) with APIs and external services.
  • Develop backend services using Node.js.
  • Build responsive frontend components using React.
  • Containerize applications using Docker and support deployment workflows.
  • Work with vector databases, embeddings, and semantic retrieval systems.
  • Monitor application performance and continuously improve reliability.
  • Collaborate with cross-functional teams to deliver scalable AI solutions.

Required Qualifications

  • 1–2 years of experience in Software Engineering, AI Engineering, or a related role.
  • Hands-on experience with LangGraph and/or LangChain.
  • Experience building RAG-based applications.
  • Strong understanding of JavaScript/TypeScript.
  • Experience with Node.js backend development.
  • Experience developing frontend applications using React.
  • Familiarity with Docker and containerized environments.
  • Experience integrating REST APIs and third-party services.
  • Understanding of vector databases, embeddings, and semantic search.
  • Strong analytical and problem-solving skills.
  • Good communication and collaboration abilities.

Preferred Qualifications

  • Experience building AI agents or multi-agent systems.
  • Familiarity with LangSmith, MCP, AI evaluation frameworks, or observability tools.
  • Experience with PostgreSQL, Redis, MongoDB, or similar databases.
  • Exposure to AWS, Azure, or GCP.
  • Experience deploying AI applications into production.
  • Contributions to open-source projects or personal AI products.

What We Offer

  • Work on cutting-edge AI and enterprise automation products.
  • Exposure to the latest frameworks, tools, and technologies.
  • Opportunity to contribute to products used in real business environments.
  • Collaborative, learning-focused culture with direct mentorship.
  • Clear career growth opportunities in a rapidly evolving AI domain.
  • Competitive salary based on experience and technical ability.

Compensation

PKR 100,000 – 130,000 per month, depending on experience, technical skills, and interview performance.

How to Apply

Apply through LinkedIn Easy Apply and include your updated CV. If available, please also share your GitHub profile, portfolio, or examples of AI projects you have worked on.

Skills

  • LangGraph
  • NodeJS
  • React
  • Docker
  • LangChain
  • javascript
  • TypeScript
  • microsoft-typescript
  • PostgreSQL
  • Redis
  • MongoDB
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
  • Github
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