Requirements : 2+ Years of experience in building and deploying AI / ML models and systems. Strong proficiency in Python and its core data science / AI libraries (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas). Deep, practical experience working with LLMs and advanced agentic frameworks like LangChain and LangGraph. Solid understanding of AI architecture patterns, especially Retrieval-Augmented Generation (RAG). Experience with API development and integration (e.g., FastAPI, REST). Familiarity with cloud platforms (GCP, AWS, etc.) and database technologies. A strong problem-solving mindset and the ability to work collaboratively in a fast-paced environment. A portfolio of projects (personal, academic, or professional) that demonstrates your ability to build real-world AI applications. Responsibilities : Design, build, and maintain sophisticated AI systems, including RAG pipelines, autonomous agents, custom generative AI solutions, and workflows using advanced frameworks like LangGraph. Work extensively with Large Language Models (LLMs) and related frameworks (like LangChain, LlamaIndex, etc.) to build intelligent applications. Develop and integrate with APIs to connect our AI systems to a wide range of client data sources and third-party services. Collaborate with our full-stack and mobile development teams to ensure seamless integration of AI capabilities into user-facing applications. Translate complex business problems into elegant, scalable technical solutions. Stay at the forefront of the rapidly evolving AI landscape, experimenting with new tools and concepts like Model-Context-Protocol (MCP) to drive innovation.
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Ai Engineer • Lahore, Pakistan