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Senior Intelligent Automation Engineer (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Intelligent Automation Engineer (AI): Building, fine-tuning, and deploying ML and GenAI models using Azure AI Foundry, Azure OpenAI, and Azure ML/Fabric with an accent on predictive models, NLP, embeddings, RAG pipelines, and LLM-powered agents. Focus on designing end-to-end AI architectures, implementing secure MCP connectors, and collaborating with stakeholders to deliver production-grade AI systems.

Location: Remote

Company

hirify.global is a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges.

What you will do

  • Build, fine-tune, and deploy ML and GenAI models (predictive models, NLP, embeddings, RAG pipelines, LLM-powered agents).
  • Design end-to-end AI architectures using Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure ML/Fabric, Azure Functions, App Services, and AKS.
  • Design and operate MCP servers to expose enterprise tools, data sources, and workflows to AI agents.
  • Implement secure MCP connectors for knowledge bases, databases/APIs, and internal services with RBAC and auditability.
  • Partner with data engineers to build feature stores, training pipelines, and inference pipelines using Fabric/ADLS/Databricks.
  • Implement CI/CD for models and prompts, monitoring, drift detection, retraining pipelines, and versioning.

Requirements

  • 5+ years experience in Data Science, ML Engineering, or AI Engineering.
  • Strong Python skills with PyTorch, TensorFlow, scikit-learn, and frameworks such as LangChain or Semantic Kernel.
  • Hands-on experience with Azure OpenAI, Azure AI Search, Azure ML/Fabric, Azure Functions or AKS.
  • Experience building RAG architectures, AI agents, and AI APIs.
  • Experience deploying ML/AI to production with monitoring, scaling, and reliability practices.
  • Strong understanding of the ML lifecycle, feature engineering, prompt engineering, and vector databases.

Culture & Benefits

  • Work alongside top professionals in a friendly, open-door environment.
  • Take on large-scale projects with a global impact and expand your expertise.
  • Boost your skills with internal events, Udemy access, language courses, and company-paid certifications.
  • Enjoy flexibility – full remote working possibilities.
  • Company-paid medical insurance, mental health support, and financial & legal consultations.

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