Hiring Senior AI Engineer in Lahore
Pakistan's IT sector is witnessing a massive digital revolution, and Lahore has become the primary hub for this tech-driven growth.
AI technology has evolved far beyond basic API wrappers into complex, production-grade autonomous infrastructure that makes business processes automated and highly optimized.
Right now, a forward-thinking tech company based in Lahore is searching for an expert Senior AI Engineer at its DHA Phase 6 office to drive its engineering operations forward.
If you have experience building production-ready GenAI platforms, advanced multi-agent systems, and MLOps workflows, this is your chance to scale your career.
Job Summary
As a Senior AI Engineer, you will be completely responsible for designing, architecting, and scaling the company's next-generation artificial intelligence solutions.
Your core job will involve building multi-agent workflows, deploying GraphRAG systems, and handling cost-optimized AI-driven automation pipelines to deliver immediate business value.
This role is perfect for an ambitious engineer who loves working at the intersection of advanced Generative AI and Computer Vision architectures.
Based in DHA Phase 6, Lahore, this position offers a premium hybrid working model, providing an excellent work-life balance along with the opportunity to provide strong technical mentorship and collaborate with high-signal engineering teams.
Key Responsibilities
End-to-End AI Architecture: Architect, develop, and deploy highly scalable AI/ML systems and production-grade multi-agent workflows in live production environments.
Advanced Generative AI: Lead the development of advanced RAG solutions (such as GraphRAG and hybrid search), implement dynamic prompt optimization, and handle foundation model fine-tuning.
Agentic Automation: Design and optimize autonomous workflows and AI-driven RPA systems using enterprise frameworks like n8n, UiPath, and Zapier.
Multimodal & Computer Vision: Apply state-of-the-art computer vision models and Vision-Language Models (VLMs) for complex detection, tracking, and spatial reasoning tasks.
LLMOps & Observability: Implement comprehensive evaluation frameworks to track data drift and hallucinations in deployed models, while optimizing latency and inference costs.
Mentorship & Strategy: Stay ahead of rapidly evolving AI trends, continuously upgrade the company's technical stack, and mentor junior engineers on technical projects.
Experience & Qualifications
Professional Experience: A minimum of 3 to 5 years of professional experience in ML/AI engineering, with a proven track record of successfully shipping real-world GenAI products.
Programming Skills: Expert-level command of Python programming and shell scripting to handle core backend pipelines and automated tasks.
GenAI & Agentic Frameworks: Deep practical command over open-source and cloud LLMs/VLMs, as well as LangGraph, CrewAI, and AutoGen frameworks.
Automation Workflow: Advanced proficiency in n8n, UiPath, or Zapier platforms, specifically focusing on integrating autonomous AI agents into workflow pipelines.
Computer Vision Tools: Strong background experience with OpenCV, modern YOLO variants (v10+), Segment Anything 2 (SAM2), and Vision-Language Models (such as LLaVA or Florence).
MLOps & Deployment Stack: Practical experience with MLflow, Docker, Kubernetes, FastAPI, LitServe, vLLM/Ollama for model serving, and LLM evaluation frameworks like Ragas or LangSmith.
Data & Databases: Proficiency in handling SQL, NoSQL, modern vector databases (Pinecone, Weaviate, Milvus, Qdrant), and Graph databases (Neo4j).
Cloud Platforms: Hands-on engineering experience with major cloud computing architectures, including AWS (Bedrock, SageMaker), GCP (Vertex AI), or Azure AI Studio.
Skills
- Multi-agent systems design and LangGraph development
- GraphRAG and advanced information retrieval
- Modern Computer Vision (YOLOv10 and SAM2)
- LLMOps pipeline monitoring and model evaluation
- Enterprise workflow automation (n8n and RPA tools)
Salary & Location
Salary: Highly competitive salary package matching premium industry standards, along with standard health and performance incentives.
Location: DHA Phase 6, Lahore, Punjab, Pakistan (Hybrid Model).
Job Details
| Category | Details |
| Seniority level | Senior Level |
| Employment type | Full-time |
| Job function | AI/ML Engineering & Software Architecture |
| Industries | Information Technology, AI Software & Automation |