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/
