Job description

This is a remote position.

We are seeking a talented AI Systems Engineer to join our dynamic team and contribute to the development and deployment of advanced AI solutions.

Must have

Setup of AI systems infrastructure in Azure cloud.
Experience with data pre-processing and feature engineering based on business and model requirements. Particularly for GenAI processes.
MLOps practices. Prepare CI/CD pipelines for building, testing, and deploying code.
Evaluate, deploy, and monitor AI models, including GPT-based systems.
Development of knowledge assistants in Microsoft Copilot Studio.
Experience with natural language understanding (NLP), computer vision, and deep learning.
Experience with Retrieval Augmented Generation (RAG), vector-based search, among others.
Experience with Large Language Model (LLM) agents, for example the ReAct methodology.

Business oriented

Transforming advanced AI concepts into tangible business solutions.
Design, develop, and provide guidance on setting up data architectures and data management frameworks for AI systems.
Evaluation of data and infrastructure requirements for AI systems.
Design AI systems and respective functional architectures.

Data management or pipelines skills, for example working with Data Factory, Fabric, among others.
Experience with the deployment of Azure resources via Bicep files.
Experience with deploying containerized applications with REST interfaces (FastAPI) via DevOps pipelines.
Frontend development experience.

Technology stack

Cloud services: Azure
Power platform: Copilot Studio
Version control: Git, Azure DevOps
Programming language: Python
Generative AI: OpenAI, Azure OpenAI (GPT, Embeddings)
Others: Azure Custom Vision, Bing Search, Azure Functions, Azure Cognitive Search, Copilot Studio, Streamlit, LangChain, CosmosDB, Document Intelligence, FastAPI, Shell, Bicep, Docker, Private Endpoints, Langfuse