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Specialized LLM/agent skills reduce applicant pool despite reputable global employer and mid-level experience.
LLM engineering skills transferable, but enterprise Azure/Databricks and agent experience favor AI-specialized backgrounds.
Multiple mandatory LLM, cloud, data, and deployment skills plus explicit 5+ years requirement.
Design and develop production-grade large language model (LLM) applications and multi-step AI agents using frameworks like LangChain and LangGraph.
Build scalable APIs and services, integrate vector databases, and deploy containerized AI solutions on Microsoft Azure.
Monitor and improve AI system quality, latency, cost, and reliability while collaborating across product, data, and engineering teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent experience.
5+ years of software engineering experience including significant AI/ML or LLM application development.
Strong Python programming skills with experience in FastAPI and RESTful API development.
Experience with Microsoft Azure deployments and containerized services using Docker.
Experienced in agentic AI designs including memory/state management, RAG pipelines, and advanced AI system monitoring.
Skilled in integrating with data platforms such as Redis, PostgreSQL with pgvector, and Databricks.
Demonstrates strong system design, debugging, and production best practices focused on scalable, maintainable AI services.