Vacancy Description
+ Design and implement high-performance RESTful or GraphQL APIs to expose AI model functionality
+ Integrate LLMs using Azure OpenAI / Azure AI Foundry and custom ML models into backend architectures
+ Use frameworks like LangChain, LangGraph, FastAPI for AI orchestration
+ Build and maintain data ingestion pipelines and vector databases (Pinecone, Weaviate, Azure AI Search) for RAG
+ Deploy and manage services using Docker and Kubernetes across cloud platforms, with strong focus on Microsoft Azure (AKS, Azure ML, Azure AI Foundry)
+ Implement real-time monitoring & alerting for model performance, latency, and drift (LLMs + traditional ML)
+ Design testing strategies for non-deterministic AI outputs, including guardrails and safety constraints
+ Own the end-to-end development lifecycle in a SaaS environment (code quality, SLOs, incident response)
+ Collaborate effectively within a team environment
+ Mentor...
+ Integrate LLMs using Azure OpenAI / Azure AI Foundry and custom ML models into backend architectures
+ Use frameworks like LangChain, LangGraph, FastAPI for AI orchestration
+ Build and maintain data ingestion pipelines and vector databases (Pinecone, Weaviate, Azure AI Search) for RAG
+ Deploy and manage services using Docker and Kubernetes across cloud platforms, with strong focus on Microsoft Azure (AKS, Azure ML, Azure AI Foundry)
+ Implement real-time monitoring & alerting for model performance, latency, and drift (LLMs + traditional ML)
+ Design testing strategies for non-deterministic AI outputs, including guardrails and safety constraints
+ Own the end-to-end development lifecycle in a SaaS environment (code quality, SLOs, incident response)
+ Collaborate effectively within a team environment
+ Mentor...
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