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Strong global brand, mid-level seniority, metro hiring, and broad LLM/Azure skillset increase candidate competition.
Specialized LLM and Azure production skills are transferable across sectors but require ML-specific experience.
Explicit 5+ years requirement plus extensive mandatory LLM, Azure, Databricks, and vector DB skills.
Design and build production-grade large language model (LLM) powered applications and agentic workflows on Microsoft Azure.
Develop and optimize scalable APIs, multi-step AI agents, and retrieval-augmented generation (RAG) pipelines integrating vector databases and data platforms.
Deploy, monitor, and improve AI systems focusing on quality, latency, cost, and reliability in collaboration with cross-functional teams.
5+ years of software engineering experience with significant experience in AI/ML or LLM application development.
Strong proficiency in Python, LangChain, LangGraph, FastAPI, and RESTful API development.
Experience with Microsoft Azure deployment, Docker containerization, Databricks, Redis/PostgreSQL with pgvector, and RAG pipeline development.
Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
Experienced in architecting and deploying agentic AI systems incorporating memory, state management, and workflow orchestration.
Skilled in engineering scalable, maintainable AI services with a strong focus on production best practices including observability, testing, and security.
Comfortable working across AI architecture, backend engineering, and data platform integration within cloud environments like Azure.