Employer description & source details
We are seeking a dynamic engineer who can excel in Generative AI systems . This hybrid role involves building scalable AI pipelines while architecting modular Angular applications with microfrontend architecture for enterprise-grade solutions. Design and implement AI-driven applications using LangChain, LangGraph, MCP . Develop and optimize Python pipelines for generative AI models. Architect scalable distributed systems with strong system design principles . Deploy and manage AI workloads on Azure Cloud (AKS, Functions, App Services). Integrate observability tools (Coralogix, LangSmith) to monitor and optimize AI systems. Collaborate with cross-functional teams to deliver production-ready AI solutions . 3 to 6 years of relevant experience in the below skills Strong proficiency in Python and AI/ML frameworks. Hands-on expertise with LangChain, LangGraph, MCP . Solid understanding of system design and distributed architectures. Experience deploying applications on Azure Cloud . Familiarity with observability tools (Coralogix, LangSmith). Proficiency with Git for collaborative development. Strong knowledge of Angular and microfrontend architecture . Ability to thrive in fast-paced environments . Experience with LLM fine-tuning and prompt engineering . Knowledge of containerization (Docker, Kubernetes). Background in MLOps and automated deployment pipelines. Prior experience in building enterprise-grade AI + Angular applications . NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consiste
Extracted skills: python, azure, docker, kubernetes, artificial intelligence, excel, operations