AI Engineer - Future Opportunities
Atlas Technica20 hours ago
Remote, UkraineSenior
Responsibilities
- Build proofs of concept and production-ready components for AI-enabled research, data access, document analysis, workflow automation, reconciliation, and internal applications.
- Develop, review, refactor, test, and maintain Python and other application code.
- Integrate APIs, MCP components, connectors, webhooks, databases, enterprise applications, Microsoft 365, SharePoint, Microsoft Graph, and third-party platforms.
- Implement retrieval, embeddings, vector or hybrid search, metadata filtering, indexing, and access-aware data-processing solutions.
- Deploy and operate applications in Microsoft Azure using approved hosting, identity, storage, database, networking, security, and deployment patterns.
- Build repeatable development and release processes with Git, Docker, automated testing, and infrastructure automation.
- Implement authentication, authorization, role-based access, secrets management, logging, monitoring, and environment separation.
- Test AI solutions for reliability, security, model failure, prompt injection, inappropriate data access, unsafe tool use, and dependency failure.
- Participate in architecture reviews, code reviews, client technical sessions, troubleshooting, production-readiness assessments, and technical handoffs.
- Maintain implementation documentation, diagrams, runbooks, testing evidence, and technical decisions, and contribute reusable engineering patterns and standards.
Requirements
- At least 5 years of professional software engineering experience, including recent hands-on work with AI-enabled applications, cloud applications, data systems, or enterprise integrations.
- Strong Python development skills and experience building APIs, services, scripts, applications, or data workflows.
- Experience with an additional production development stack such as C#/.NET, TypeScript/Node.js, Java, or a comparable technology.
- Hands-on Microsoft Azure experience covering application hosting, identity, storage, databases, secrets management, logging, monitoring, and deployment.
- Practical experience with LLM APIs, agentic workflows, retrieval-augmented generation, embeddings, structured outputs, prompt design, and model limitations.
- Experience 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, environment separation, and secure secrets management.
- Experience with Git, Docker, automated testing, production troubleshooting, and modern software development practices.
- Ability to write clean, maintainable, testable code and explain technical and implementation decisions clearly.
- Strong problem-solving, ownership, documentation, follow-through, and remote collaboration skills.
- English proficiency at B2 level or higher for technical client discussions and written documentation.
- Preferred qualifications include Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Agent Framework, Microsoft Graph, SharePoint Online, Microsoft Entra ID, Microsoft 365, Copilot Studio, Power Platform, Azure Functions, Azure Container Apps, App Service, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, AI evaluation testing, regulated-industry experience, relevant certifications, mentoring, and engineering standards contributions.
Benefits
- Full-time employment opportunity based in Kyiv, Ukraine, with remote work.
- The posting is an evergreen talent pipeline and is not currently active; there is no immediate hiring timeline.
- The company states that it offers a competitive salary, comprehensive benefits, great perks, and professional and career development opportunities.
Tech Stack
Categories
About Atlas Technica
Atlas Technica provides managed IT and cybersecurity services for hedge funds, private equity, and other alternative investment firms. It delivers outsourced support, cloud infrastructure management, disaster recovery/business continuity, and regulatory/compliance tooling, typically as a managed service provider model. Founded in 2016 and headquartered in New York, it operates as a privately held firm serving financial-sector clients in the U.S. and abroad.