AI Engineer

This is a fully remote position, open to applicants in Ukraine.

📋 Description

• Construct rapid proofs of concept and production-ready components for AI-driven research, data access, document analysis, workflow automation, reconciliation, and internal application scenarios.

• Design, review, refactor, test, and maintain application code utilizing Python and other supported technologies.

• Develop and integrate REST APIs, MCP components, connectors, webhooks, databases, enterprise applications, and data-integration services.

• Link AI-driven workflows with Microsoft 365, SharePoint, Microsoft Graph, enterprise data repositories, third-party platforms, and authorized AI services.

• Execute retrieval and data-processing solutions with embeddings, vector or hybrid search, metadata filtering, indexing, and access-aware methodologies.

• Deploy and manage applications within Microsoft Azure using approved hosting, identity, storage, database, networking, security, and deployment configurations.

• Establish repeatable development and release processes through Git, CI/CD, Docker, automated testing, and infrastructure automation.

• Implement authentication, authorization, role-based access, secrets management, logging, monitoring, environmental separation, and various other security measures.

• Evaluate AI solutions for reliability, security, model failure, prompt injection, inappropriate data access, unsafe tool usage, dependency failure, and other production-readiness risks.

• Engage in architecture reviews, code reviews, client technical discussions, troubleshooting, production-readiness evaluations, and technical handovers.

• Maintain implementation documentation, diagrams, runbooks, testing evidence, and technical decisions while communicating obstacles, scope alterations, and delivery risks.

• Contribute reusable code, deployment templates, testing methodologies, connector designs, and engineering standards to Atlas Technica’s AI capabilities based in Ukraine.

⛳️ Requirements

• Over 5 years of professional software engineering experience, including recent hands-on involvement with AI-enabled applications, cloud applications, data systems, or enterprise integrations.

• Proficient Python development skills with experience in creating APIs, services, scripts, applications, or data workflows.

• Familiarity with at least one additional production development stack such as C#/.NET, TypeScript/Node.js, Java, or a similar technology.

• Practical hands-on experience with Microsoft Azure in application hosting, identity management, storage, databases, secrets management, logging, monitoring, and deployment.

• Direct experience with LLM APIs, agentic workflows, retrieval-augmented generation (RAG), embeddings, structured outputs, prompt design, and model limitations.

• Experience in building or integrating APIs, connectors, MCP components, databases, data platforms, or enterprise workflow systems.

• Strong understanding of authentication, authorization, role-based access control, least privilege principles, environmental separation, and secure secrets management.

• Proficient in Git, CI/CD, Docker, automated testing, production troubleshooting, and modern software development practices.

• Capability to write clean, maintainable, and testable code while clearly articulating technical and implementation decisions.

• Excellent problem-solving, ownership, documentation, and follow-through abilities with a capacity to work effectively in a remote and collaborative delivery environment.

• Proficiency in English at a B2 level or higher, with the ability to engage in technical discussions with clients and produce clear written documentation.

• Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Agent Framework, or similar AI orchestration technologies.

• Familiarity with Microsoft Graph, SharePoint Online, Microsoft Entra ID, Microsoft 365, Copilot Studio, or Power Platform.

• Experience with Azure Functions, Azure Container Apps, App Service, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, or similar data and application platforms.

• Proficient in developing evaluation datasets, regression tests, or methods for testing non-deterministic AI components.

• Experience transitioning prototypes, internally developed applications, vendor solutions, or citizen-developed applications towards controlled production usage.

• Experience in supporting financial services, regulated industries, enterprise clients, or environments with stringent security and compliance requirements.

• Relevant Microsoft Azure, AI, software engineering, or cloud certifications.

• Experience in creating reusable engineering patterns, mentoring junior engineers, or contributing to engineering standards and technical knowledge sharing.

🏝️ Benefits

• Competitive salary

• Comprehensive benefits

• Great perks

• Opportunities for professional and career development

• A professional yet friendly work environment