Location: Karachi, Lahore, Islamabad
About Liquid Technologies
Liquid Technologies is a future-focused technology company delivering AI, software development, data engineering, DevOps, product design, and digital transformation solutions. We help organizations build intelligent, scalable, and enterprise-grade AI solutions that transform business operations and decision-making.
We are looking for an experienced Agentic AI Engineer to design, develop, and deploy intelligent AI solutions powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. You will collaborate with cross-functional teams to build scalable, enterprise-grade AI applications that automate business processes and deliver innovative customer experiences.
Key Responsibilities
- Design, develop, and deploy intelligent AI agents and multi-agent systems for enterprise applications.
- Build AI-powered solutions using LangChain, LangGraph, CrewAI, AutoGen, Vertex AI Agent Builder, or similar frameworks.
- Develop and optimize RAG pipelines and integrate LLMs into business applications.
- Implement vector search solutions using databases such as Pinecone, ChromaDB, Weaviate, or similar technologies.
- Deploy, monitor, and optimize AI applications following LLMOps best practices.
- Integrate AI workflows into CI/CD pipelines and ensure scalable, secure, and reliable deployments.
- Collaborate with Product, Engineering, and Data teams to deliver high-quality AI solutions.
- Research emerging AI technologies and contribute to engineering best practices and continuous innovation.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
- 4–7 years of experience in AI/ML Engineering, Applied AI, Data Engineering, or Software Engineering.
- Strong proficiency in Python and experience building scalable AI applications.
- Hands-on experience with Large Language Models (LLMs) and Generative AI.
- Experience developing RAG (Retrieval-Augmented Generation) applications.
- Experience with LangChain, LangGraph, CrewAI, AutoGen, or similar AI orchestration frameworks.
- Experience working with Vector Databases such as Pinecone, ChromaDB, Weaviate, or FAISS.
- Strong understanding of REST APIs, microservices, and cloud-native application development.
- Experience with Git, CI/CD pipelines, and Agile development methodologies.
- Excellent analytical, communication, and problem-solving skills.
