Full Stack AI Automation Engineer Job in Lahore | Dot2Shape

Dot2Shape

Lahore

Sur place

PKR 3 000 000 - 5 000 000

Plein temps

Il y a 4 jours
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Résumé du poste

Dot2Shape in Lahore is seeking a Full Stack AI Automation Engineer to design, build, and deploy intelligent AI solutions and AI-powered automation workflows that integrate with APIs. This role suits a problem-solver who takes ownership and delivers with minimal supervision.

Ideal candidates will have 4–5 years of experience, strong Python, ML, and Generative AI skills, with hands-on work with LLMs, RAG, AI Agents, LangChain, and API integrations. Familiarity with n8n or similar tools is a plus.

Qualifications

  • Proven ability to communicate clearly with stakeholders.
  • Strong problem-solving and decision-making capabilities.
  • Demonstrated ownership of end-to-end tasks.
  • Ability to work independently with minimal supervision.

Responsabilités

  • Design, build, and deploy intelligent AI solutions.
  • Build AI-powered automation workflows and integrate APIs.
  • Manage projects independently and make technical decisions.
  • Take ownership of delivery with minimal supervision.

Connaissances

Excellent communication
Problem solving
Ownership
Independent work

Outils

Python
LangChain
n8n
API integration

Description du poste

Dot2Shape is looking for a talented, self-driven Full Stack AI Automation Engineer to join its team in Lahore. You will design, build, and deploy intelligent AI solutions, including AI-powered automation workflows that integrate with APIs. This role suits a problem-solver who goes beyond writing code, takes ownership, and delivers with minimal supervision.

Key Responsibilities
  • Design, build, and deploy intelligent AI solutions.
  • Build AI-powered automation workflows and integrate APIs.
  • Manage projects independently and make technical decisions.
  • Take ownership of delivery with minimal supervision.
Requirements
  • 4 to 5 years of experience.
  • Strong expertise in Python, Machine Learning, and Generative AI.
  • Hands-on experience with LLMs, RAG, AI Agents, and LangChain.
  • Experience building AI-powered automation workflows and integrating APIs.
  • Knowledge of n8n or similar automation tools.
  • Ability to independently manage projects and make technical decisions.
Skills

Technical Skills

  • Python
  • Machine Learning and Generative AI
  • LLMs, RAG, AI Agents, and LangChain
  • AI automation workflows and API integration
  • n8n or similar automation tools

Soft Skills

  • Excellent communication
  • Problem solving and decision making
  • Ownership and a proactive attitude
  • Working independently with minimal supervision
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