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AI Engineer – Future Opportunity

Atlas Technica


Job Location:

Kyiv - Ukraine

Monthly Salary: Not provided by the employer
Posted: 4 September 2026 (Yesterday)
Application Deadline: 2 December 2026
Vacancies: 1 Vacancy

Job Summary

Title: AI Engineer
Reports to: Principal AI Architect
Department: AI & Advisory
Location: Kyiv Ukraine Remote
Term: Full-Time

About Atlas Technica

Atlas Technicas mission is to shoulder IT management user support and cybersecurity for our clients who are hedge funds and other investment firms. Founded in 2016 we have grown year over year through our uncompromising focus on service.

We value ownership execution growth intelligence and camaraderie. We are looking for people who share our Core Values thrive and contribute to this environment while putting the customer first. At Atlas Technica we offer a competitive salary comprehensive benefits and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

Position Overview

We are seeking an AI Engineer to join our growing AI & Advisory team in Ukraine. This is a hands-on engineering role focused on building integrating testing and deploying AI-enabled applications and enterprise solutions for sophisticated client environments.

Working under the technical direction of a Principal or Senior AI Architect the AI Engineer will translate approved architecture and security decisions into working software integrations deployment patterns tests and technical evidence. This role will build rapid proofs of concept while also helping move successful solutions toward secure maintainable and supportable production use.

The successful candidate will combine strong software engineering fundamentals with practical AI Azure integration and security experience. This is not a research-only or prompt-engineering role; we are looking for an engineer who enjoys writing production-quality code solving complex integration challenges testing assumptions and delivering reliable technical solutions.

Position Responsibilities:

  • Build rapid proofs of concept and production-ready components for AI-enabled research data access document analysis workflow automation reconciliation and internal application use cases
  • Develop review refactor test and maintain application code using Python and other supported development 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 appropriate 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 clear implementation documentation diagrams runbooks testing evidence and technical decisions while proactively communicating blockers scope changes and delivery risks
  • Contribute reusable code deployment templates testing approaches connector patterns and engineering standards to Atlas Technicas 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 with experience building APIs services scripts applications or data workflows
  • Experience with at least one additional production development stack such as C#/.NET TypeScript/ Java or a 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 clearly explain technical and implementation decisions
  • Strong problem-solving ownership documentation and follow-through skills with the ability to work effectively in a remote and collaborative delivery environment
  • English proficiency at B2 level or higher with the ability to participate effectively in technical client discussions and produce clear written documentation

Desirable Qualities:

  • Experience with Azure AI Foundry Azure OpenAI Azure AI Search Microsoft Agent Framework or comparable AI orchestration technologies
  • Experience with Microsoft Graph SharePoint Online Microsoft Entra ID Microsoft 365 Copilot Studio or Power Platform
  • Experience with technologies such as Azure Functions Azure Container Apps App Service Azure SQL PostgreSQL Cosmos DB Snowflake or similar data and application platforms
  • Experience developing evaluation datasets regression tests or other approaches for testing non-deterministic AI components
  • Experience moving prototypes internally developed applications vendor solutions or citizen-developed applications toward controlled production use
  • Experience supporting financial services regulated industries enterprise clients or other environments with strong security and compliance requirements
  • Relevant Microsoft Azure AI software engineering or cloud certifications
  • Experience creating reusable engineering patterns mentoring junior engineers or contributing to engineering standards and technical knowledge sharing

Atlas Technica is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race religion color national origin gender sexual orientation gender identity age status as a protected veteran status as an individual with a disability or other applicable legally protected characteristics.


Required Experience:

IC


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Position Name: Jr. Systems EngineerReports to: Client Technology ManagerLocation/Type: Client/Dedicated On-Site, Stamford, CTType: Full-Time Hourly, Non-Exempt Atlas Technica's mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds a ... View more

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