Jobs → Engineering → AI/ML Engineer

About the Role We are looking for a highly skilled AI/ML Engineer with strong Python engineering expertise and hands-on experience in Databricks, Azure cloud services, and production-grade AI/ML and LLM applications. The ideal candidate will build scalable AI solutions, integrate LLMs with external tools and systems, and deliver production-ready services while collaborating directly with customers and stakeholders. Key Responsibilities • Develop and maintain production-ready AI/ML and LLM-powered applications • Build scalable data processing solutions using Databricks, PySpark, and Delta Lake • Leverage Azure services to support secure, reliable data and AI workloads • Integrate LLMs with tools and external systems using MCP or similar frameworks • Design and implement REST APIs, microservices, and service integrations • Containerize and deploy applications using Docker and Kubernetes and/or Amazon ECS • Build and maintain CI/CD pipelines to automate deployment and improve production readiness • Collaborate with customers and stakeholders to understand requirements, discuss technical solutions, and deliver outcomes Requirements • 10+ years of software engineering experience • Strong hands-on expertise in Python • Experience with Databricks, PySpark, and Delta Lake • Microsoft Azure experience, including ADLS Gen2, Azure Databricks, and Azure Key Vault • Production experience in AI/ML, LLMs, or applied AI solutions • Hands-on experience with Docker and Kubernetes and/or Amazon ECS • CI/CD pipelines and deployment automation experience • REST APIs, microservices, and service integration experience • Model Context Protocol (MCP) or similar LLM tool-integration frameworks experience • Customer-facing engineering experience, technical discussions, and solution delivery • Previous experience at a FAANG or Tier 1 product-based company is required