Location: Lahore, Karachi, 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. Our multidisciplinary team of 100+ specialists has spent over a decade helping startups, enterprises, and organizations across healthcare, energy, manufacturing, finance, and beyond turn bold ideas into scalable, real-world products — from proprietary platforms like Vidan.AI (AI-powered video analytics) and Vitalog (digital health) to custom enterprise SaaS and machine learning pipelines. We pair deep technical expertise with a design-thinking approach and a strong commitment to responsible, ethical AI — engineering impact, not just code.
Job Brief
We are seeking a highly skilled AI Engineer with hands-on experience in building Agentic Data Platforms leveraging Databricks, LangChain/LangGraph and/or Google Agentic/Vertex AI Agent Builder. The ideal candidate will be responsible for designing, developing, and deploying intelligent autonomous data workflows and multi-agent systems that enable end-to-end data processing, analytics, and decision automation at scale.
Key Responsibilities
- Design, architect, and develop agentic AI pipelines and multi-agent systems for data ingestion, processing, and analytics.
- Implement and orchestrate AI Agents using tools such as LangChain/LangGraph, Google Vertex AI Agent Builder, or equivalent agentic frameworks.
- Integrate LLMs and foundation models into data workflows for autonomous decisioning and self-service insights.
- Develop, test, and deploy RAG (Retrieval Augmented Generation) and LLMOps workflows to support domain-specific knowledge reasoning.
- Evaluate and implement best practices for prompt engineering, fine-tuning, guardrails, and responsible AI in production.
- Collaborate with data engineers, MLOps, and product teams to ensure scalability, resilience, and security of the agentic platform.
- Monitor and optimize the performance of deployed agents and AI workflows.
Required Experience & Qualification
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI/ML, Data Science, or a related field (or equivalent experience).
- 5–8 years of professional experience in AI/ML engineering, Data Engineering, or Applied AI development.
- Practical experience with agentic toolkits including Google Agentic/Vertex AI Agent Builder, or open-source agentic frameworks (e.g., LangChain, AutoGen, CrewAI, HuggingFace stack).
- Solid foundation in Python with experience building scalable AI/ML applications.
- Experience deploying LLMs, RAG pipelines, and vector databases (e.g., Pinecone, Weaviate, Chroma, BigQuery Vector Search).
- Good understanding of MLOps and LLMOps: CI/CD, model versioning, experiment tracking, and monitoring.
- Familiarity with cloud ecosystems (Azure preferred; AWS/GCP a plus).
- Strong problem-solving and system design skills with the ability to work in fast-paced environments.
Nice-to-Have
- Experience building autonomous decisioning platforms for manufacturing, finance, supply chain, or enterprise automation.
- Exposure to streaming data systems (Kafka, Kinesis, Pub/Sub).
- Knowledge of graph-based reasoning and enterprise knowledge management.
- Expertise in Databricks (PySpark, Delta Lake, MLflow, Unity Catalog).
