Middle AI Engineer (.NET)

Atlas Technica is a fast-growing US-based MSP founded in 2016, now with 200+ engineers across 10+ countries, partnering with hedge funds and investment firms on digital transformation. This Middle AI Engineer role focuses on designing and deploying intelligent chatbots using Azure Bot Framework, OpenAI, and Cognitive Services, while building data pipelines and fine-tuning NLP models. The position involves integrating AI with enterprise systems via RESTful APIs while ensuring compliance with security and privacy standards.

• Design, build, and deploy intelligent conversational agents using Azure Bot Framework, Azure OpenAI, and Cognitive Services
• Develop prompt strategies and manage datasets to support context-aware, multi-turn dialogue and accurate responses
• Conduct rapid prototyping to validate technical feasibility and demonstrate business value of AI-driven solutions
• Build and maintain robust data pipelines to support training and inference workflows
• Configure, train, and fine-tune machine learning models using Azure Machine Learning with focus on NLP and LLMs
• Evaluate and optimise AI system performance for accuracy, scalability, latency, and cost-efficiency
• Architect and implement integration between AI and enterprise systems using RESTful APIs
• Ensure AI systems comply with data privacy regulations and enterprise-grade security standards
• Stay current with evolving LLM technologies, frameworks and methodologies
• Collaborate with cross-functional teams to interpret business requirements and recommend LLM-driven solutions

• English level B2 or higher
• 4+ years of experience in ASP.NET software development (Core/WebAPI, C#, React/React.js) with focus on AI engineering and 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 (GPT, Claude, Gemini)
• Practical experience with Retrieval-Augmented Generation (RAG) and optimising retrieval pipelines
• Hands-on experience with Azure AI services (Azure Machine Learning, Cognitive Services, Bot Framework)
• 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

Location/Type: Remote

Hours: 10 AM-7 PM UA (Ukraine time)

Hiring Process: 2 interviews

Desirable Qualities: Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms; Familiarity with CI/CD pipelines and DevOps practices; Experience with Azure Cosmos DB; AI-102 certification; Prior experience integrating AI agents with enterprise platforms like ConnectWise Manage, Confluence, SPO, etc.