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Junior AI/ML Engineer

Summary

Builds and improves chatbots and AI agents using LLMs, RAG pipelines, and vector databases for customer-facing platforms.

Wateen is Pakistan’s leading information and communications technology company with a diverse portfolio of customers across industries. A pioneer in the telecommunications industry, Wateen is proud to have laid the foundation of Pakistan’s internet connectivity with the fastest-growing fiber-optic network.

Wateen is credited with transforming the landscape of communications technology in Pakistan through our efforts to revolutionize businesses with cutting‑edge technology. With the country’s largest team of highly experienced certified resources, our subject matter experts ensure end‑to‑end support uniquely optimized for businesses and enterprises across various verticals.

Position Summary

Seeking to connect with a Junior AI/ML Engineer with a strong interest in Conversational AI, Large Language Models (LLMs), and intelligent automation. This role is ideal for candidates who want hands‑on experience building chatbots, RAG‑based systems, AI agents, and enterprise‑grade AI solutions.

Location

Lahore

Key Responsibilities

  • Design, develop, and enhance chatbots and virtual assistants for web, mobile, and messaging platforms (e.g., WhatsApp, web chat).
  • Implement LLM-based solutions using frameworks such as LangChain, LlamaIndex, or similar.
  • Build and optimize Retrieval‑Augmented Generation (RAG) pipelines using vector databases.
  • Integrate and manage Vector Databases (e.g., FAISS, Pinecone, Weaviate, Milvus).
  • Assist in developing AI agents capable of tool usage, workflows, and task automation.
  • Perform prompt engineering, evaluation, and optimization for accuracy, latency, and cost.
  • Integrate AI services with backend systems via APIs and microservices.
  • Support model testing, evaluation, and monitoring in production environments.
  • Document solutions, experiments, and implementation approaches.

Required Skills

  • Strong fundamentals in Python and basic ML concepts.
  • Understanding of LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.) and their limitations.
  • Hands‑on exposure to RAG architectures and semantic search.
  • Familiarity with vector embeddings, similarity search, and indexing.
  • Experience consuming REST APIs and working with JSON.
  • Basic understanding of cloud platforms (AWS, Azure, or GCP).

Education & Experience

  • Bachelor’s degree in Computer Science, AI, Data Science, or related field.
  • 1–3 years of hands‑on experience or relevant academic/project work.

If you are interested in joining our dynamic team, email your CV at [email protected] Don’t forget to mention the position in the subject line. We can’t wait to explore the possibilities with you!

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