AI Engineering Jobs in Pakistan
There are 99 open AI Engineering jobs in Pakistan on freehire right now. 17 of them were posted recently. The skills employers ask for most often are ai, python and llm.
Most requested skills
- ai 95%
- python 70%
- llm 69%
- api 48%
- machine-learning 48%
- agentic-ai 45%
- rag 44%
- cloud 41%
How the work is done
- Remote 12 · 12%
- Hybrid 10 · 10%
- Onsite 3 · 3%
Visa sponsorship offered in 50% of the 2 postings that state a position on it.
Seniority
- Senior 32
- Principal 5
- Junior 4
- Lead 3
- C-level 1
- Intern 1
Who is hiring
- 501-1000 employees 4
- 51-200 employees 4
- 1000+ employees 3
- 11-50 employees 1
AI Engineer
Builds AI-powered chatbots and agentic systems using Python, FastAPI, LangGraph, and OpenAI SDK, integrating LLMs with workflow automation and deploying on AWS.
AI Engineer
Build and maintain AI-driven recruitment tools like agentic workflows, RAG pipelines, and multi-model orchestration to automate hiring tasks and improve recruiter efficiency.
Senior AI Agent Engineer
Design and build autonomous AI agents that decompose goals into actionable steps, integrate with enterprise systems, and deploy robust RAG pipelines with monitoring and governance.
AI Engineer
Build and integrate AI-powered features and automation systems using Python, APIs, and LLMs, ensuring reliable production outcomes and measurable business impact.
Agentic AI Engineer
Build and maintain enterprise AI agents in Python that read live business data, reason, and recommend actions—always gated by human approval—using LLM orchestration and governed tooling.
AI Engineer
Build and scale AI/ML models for an HR-tech SaaS platform, focusing on automation, NLP, and generative AI to improve HR workflows and user experience.
Senior AI Engineer: Production ML & Platform Lead
Design and deploy scalable AI/ML solutions, including LLM, NLP, or computer vision models, while building data pipelines and mentoring junior engineers.
Remote Go Software Engineer for AI/LLM Tools
Builds and evaluates LLM datasets and synthetic software-engineering tasks in Go, automating environments and triaging issues while collaborating with researchers.
Remote AI Engineer — Build Production Feature-Driven AI
Build and deploy production AI features using Python, FastAPI, LangChain, and vector databases, integrating with LLMs for scalable agent systems.
AI Prompt Engineer
Designs and refines prompts for LLMs like ChatGPT and Azure OpenAI to power AI apps, automations, and chatbots that improve productivity and user experiences.
Azure AI Engineer: Multi-LLM Orchestration & Copilot
Build and deploy AI-powered apps on Azure using Azure AI Services, Azure OpenAI, and Copilot Studio to create chatbots, knowledge assistants, and enterprise copilots.
Principal AI Engineer
Lead AI research and development for healthcare systems, designing advanced models and mentoring teams to publish cutting-edge work.
AI Product Engineer: Build & Ship LLM Features
Build and ship LLM-powered features end-to-end, writing prompts, running experiments, and iterating with React/TypeScript front ends and Python/Node back ends.
AI Engineer
Build and deploy ML models using Python, TensorFlow/PyTorch, and MLOps tools; integrate AI features into products and optimize performance.
Associate AI Engineer: LLM Apps & Agentic Workflows
Build AI-powered features like chatbots, Q&A, and contextual search using LLMs (OpenAI, Gemini, Claude) and develop agentic workflows with Python and MLOps.
Senior AI Engineer (Hybrid) - Production ML & LLMs
Senior AI Engineer builds and deploys production-grade ML and LLM systems, turning business needs into scalable AI pipelines and models using Python and SQL.
AI Engineer
Build and deploy LLM-powered agentic systems that autonomously perform structured tasks, integrating AI into existing software with a focus on reliability and scalability.
Clinical AI Automation Engineer - LLM for Regulated Trials
Build LLM-powered automation for clinical trials, extracting and mapping research data while ensuring compliance across global teams.
Senior AI Engineer
Build and deploy production-grade AI systems using RAG, agentic frameworks (LangGraph, AutoGen), and vector search (Azure AI Search, pgvector) with Python and cloud tools.