AI Engineer

  • Lahore, Islamabad, Karachi, Pakistan
  • WFH Flexible
  • Full-time
  • Software Engineering

We are hiring a Senior Generative AI Engineer to design and build scalable AI applications on enterprise data platforms. This role requires strong expertise in Python, LLMs (OpenAI/Anthropic), Azure cloud, and modern GenAI architectures including RAG, MCP, multi-agent systems, and LLM evaluation.

Responsibilities

  • Design and implement RAG-based AI systems with hybrid search, embeddings, and optimized retrieval strategies
  • Build and deploy AI agents using modern agentic AI frameworks
  • Develop multi-step workflows and tool-using agents for real-world business use cases
  • Build conversational AI systems with context handling and multi-turn interactions
  • Design scalable AI services for real-time and batch use cases
  • Design and implement solutions using at least one of the following frameworks:
    • LangGraph
    • Semantic Kernel
    • AutoGen
    • CrewAI
    • OpenAI Agents SDK
  • Demonstrate working knowledge of multiple agent frameworks and their trade-offs
  • Apply prompt engineering, few-shot learning, and retrieval techniques to improve LLM performance
  • Build reusable components for agent orchestration, tool usage, and workflow design
  • Design and implement semantic search and vector-based retrieval systems
  • Hands-on experience with:
    • Azure AI Search
    • PostgreSQL (pgvector)
  • Optimize embedding strategies, indexing, and query performance
  • Implement LLM evaluation approaches (offline testing, basic automated evaluation pipelines)
  • Define and track quality metrics such as accuracy, relevance, and response quality
  • Apply techniques for hallucination detection and mitigation
  • Build basic monitoring and observability for AI systems (logs, traces, performance metrics)
  • Continuously improve model performance based on evaluation insights
  • Develop APIs and microservices for integrating AI systems
  • Work with cloud platforms (Azure/AWS/GCP) and containerization (Docker)
  • Contribute to deployment pipelines and production readiness
  • Prototype and validate solutions through POCs and pilots

Requirements

  • 6–9 years of experience in AI/ML
  • Strong Python skills and experience with ML frameworks (PyTorch or TensorFlow)
  • Practical experience building LLM-based applications and RAG pipelines
  • Hands-on experience with at least one agentic AI framework:
    • LangGraph, Semantic Kernel, AutoGen, CrewAI, or OpenAI Agents SDK
  • Familiarity with multi-agent workflows and orchestration patterns
  • Experience with vector databases and semantic search systems
  • Hands-on exposure to:
    • Azure AI Search
    • pgvector (PostgreSQL)
  • Understanding of embeddings and similarity search
  • Experience or strong understanding of:
    • LLM evaluation techniques
    • Output quality measurement
    • Hallucination detection approaches
    • Monitoring and observability concepts
  • Agentic AI: LangGraph, Semantic Kernel, AutoGen, CrewAI, OpenAI Agents SDK
  • RAG Frameworks: LangChain, LlamaIndex
  • Vector Databases: Azure AI Search, pgvector
  • LLM/ML: PyTorch, OpenAI APIs
  • Serving: FastAPI
  • Infra: Azure/AWS/GCP, Docker
  • Monitoring: LangSmith (or similar)
  • Languages: Python

We have an amazing team of 700+ individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.

What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.

People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. 

To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/