AI Engineer

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Atlas Technica

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

🔒 Cybersecurity

💸 Finance

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.

📋 Description

• Build rapid 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 application code using Python and other supported technologies • Build and integrate REST APIs, MCP components, connectors, webhooks, databases, enterprise applications, and data-integration services • Connect AI-enabled workflows with Microsoft 365, SharePoint, Microsoft Graph, enterprise data stores, third-party platforms, and approved AI services • Implement retrieval and data-processing solutions using embeddings, vector or hybrid search, metadata filtering, indexing, and access-aware patterns • Deploy and operate applications within Microsoft Azure using approved hosting, identity, storage, database, networking, security, and deployment patterns • Build repeatable development and release processes using Git, CI/CD, Docker, automated testing, and infrastructure automation • Implement authentication, authorization, role-based access, secrets management, logging, monitoring, environment separation, and other security controls • Test AI solutions for reliability, security, model failure, prompt injection, inappropriate data access, unsafe tool use, dependency failure, and other production-readiness risks • 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 while communicating blockers, scope changes, and delivery risks • Contribute reusable code, deployment templates, testing approaches, connector patterns, and engineering standards to Atlas Technica’s Ukraine-based AI capability

🎯 Requirements

• 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 building APIs, services, scripts, applications, or data workflows • Experience with an additional production development stack such as C#/.NET, TypeScript/Node.js, Java, or comparable technology • Hands-on Microsoft Azure experience across application hosting, identity, storage, databases, secrets management, logging, monitoring, and deployment • Practical experience with LLM APIs, agentic workflows, retrieval-augmented generation (RAG), 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, CI/CD, Docker, automated testing, production troubleshooting, and modern software-development practices • Ability to write clean, maintainable, and testable code and explain technical and implementation decisions • Strong problem-solving, ownership, documentation, and follow-through skills • Ability to work effectively in a remote and collaborative delivery environment • English proficiency at B2 level or higher • Ability to participate effectively in technical client discussions and produce clear written documentation

🏖️ Benefits

• Competitive salary • Comprehensive benefits • Great perks • Professional and career development • Professional yet friendly environment • Equal Employment Opportunity protections