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Miratech

Global IT services and digital transformation

Senior AI Engineer - Python

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeWinnipeg, MB, Canada

About the Job

Requirements

  • At least 8 years of hands-on experience in Python development and enterprise application development.
  • At least 2 years of hands-on experience with LangGraph, including agent workflows, stateful orchestration, multi-agent systems, and AI-driven execution flows.
  • At least 2 years of experience with LangChain, including building large language model-powered applications, tool integrations, retrieval-augmented generation, and workflow automation.
  • Strong understanding of agentic artificial intelligence concepts, including AI agents, planning, orchestration, memory management, and tool-calling frameworks.
  • Experience building and deploying production-grade generative AI applications and solutions.
  • Experience integrating AI applications with enterprise platforms, backend services, and application programming interfaces.
  • Experience designing and implementing conversational AI and chat-based applications in production environments.
  • Familiarity with AI observability, monitoring, telemetry, and evaluation platforms.
  • Strong knowledge of software engineering best practices, testing, debugging, and performance optimization.
  • Experience working in Agile development environments and collaborating with cross-functional teams.

Responsibilities

  • Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
  • Build and extend AI-enabled guided workflows and automation capabilities.
  • Design, develop, and optimize conversational AI and chat-based experiences.
  • Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
  • Integrate AI agents and applications with enterprise systems, services, and application programming interfaces.
  • Support modern AI integration frameworks and agent communication patterns.
  • Implement AI observability, monitoring, telemetry, and performance tracking capabilities.
  • Collaborate closely with engineering teams and stakeholders to accelerate platform development and business use-case delivery.
  • Troubleshoot technical challenges, improve solution reliability, and drive continuous platform enhancements.
  • Contribute to architecture discussions, best practices, and the adoption of scalable AI engineering standards.

Desired Qualifications

  • Hands-on experience with Model Context Protocol and Agent-to-Agent communication.
  • Experience building and deploying multi-agent AI solutions in production.
  • Experience implementing retrieval-augmented generation architectures and knowledge-based AI systems.
  • Experience working with vector databases and semantic search technologies.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
  • Experience working on centralized AI platforms supporting multiple business functions and use cases.
  • Exposure to healthcare or other highly regulated enterprise environments.

About the Company

Miratech

Global IT services and digital transformation

Miratech provides IT services and consulting to large global enterprises. Its work includes digital product engineering and customer experience design, helping companies accelerate their technology goals through complex digital transformation projects. The company emphasizes delivering projects on time and within budget, aided by a culture called “Relentless Performance.” It stands out from competitors due to its long history dating back to the Soviet era, its specialization in serving Fortune 500 companies, and its private funding-driven expansion, including a minority stake from Horizon Capital and IFC backing aimed at scaling the business and growing Ukraine’s IT job market. Miratech’s goal is to expand globally while creating more jobs in Ukraine’s technology sector and continuing to help large organizations implement large-scale digital programs.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
1989

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