AI Engineer

October 25

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Atlas Technica

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Cybersecurity • Finance

Atlas Technica is a strategic partner for the Alternative Investment Industry, providing outsourced IT services focused on technological excellence. The company offers a range of services including designing IT infrastructure for optimal performance, scalability, and cost-efficiency, ensuring alignment with business objectives. Atlas Technica also specializes in cybersecurity solutions to protect against cyber threats and ensure compliance with industry regulations. As a 'Public Cloud First' company, Atlas Technica provides cloud transformation services that enhance agility, flexibility, and resource accessibility. By focusing on multi-layered security protocols, they safeguard sensitive investment data, ensuring confidentiality and integrity for their clients.

201 - 500 employees

Founded 2016

🔒 Cybersecurity

💸 Finance

📋 Description

• design and deploy intelligent chatbots using Azure Bot Framework, OpenAI, and Cognitive Services • build data pipelines and fine-tune NLP models with Azure ML • integrate AI with enterprise systems via RESTful APIs, ensuring compliance with security and privacy standards • stay current with LLM advancements, collaborate across teams, and mentor junior engineers

🎯 Requirements

• English level – B2 or higher • 5+ years of experience in AI engineering and ASP.NET software development (Core/WebAPI, C#, React/React.js), with a focus on Azure-based solutions • Experience building intelligent chatbots and autonomous agents (Agentic AI) that perform real actions, plan, reason, and act with minimal human input; familiar with multi-agent orchestration and agent memory • Advanced expertise in machine learning, deep learning, and NLP, including pipelines, model fine-tuning, embeddings, and transformer-based architectures • Strong understanding of large language models (LLMs), their limitations, and modern capabilities (e.g., GPT, Claude, Gemini), as well as practical experience with Retrieval-Augmented Generation (RAG) and optimizing retrieval pipelines • Hands-on experience with Azure AI services (Azure Machine Learning, Cognitive Services, Bot Framework) and knowledge of MCP or similar protocols for secure, scalable integration between AI agents and enterprise systems • Familiarity with deploying, monitoring, and maintaining ML models in production environments • Ability to write clean, maintainable, and testable code following SOLID principles and Clean Architecture patterns.

🏖️ Benefits

• competitive salary • comprehensive benefits • great perks to our global Team • professional and career development opportunities