Senior AI Engineer

3 days ago

Edmonton AB, Edmonton Census Division, AB; Alberta, Canada Miratech Group Full-time

Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-drivenorganizationand our culture of Relentless Performance has enabled over 99% ofMiratech'sengagements to succeed by meeting or exceeding our scope, schedule, and/or budgetobjectivessince ourinceptionin 1989.
Miratech has coverage across 5 continents andoperatesin over 25 countries around the world. Miratech retainsnearly 1000full-time professionals, and our annual growth rate exceeds 25%.

Job Description

Miratech is looking for a skilled Senior AI Engineer with Python, LangGraph and LangChain to join our US healthcare client. You will play a key role in developing and enhancing an enterprise AI platform that enables intelligent workflows, conversational experiences, and AI-powered automation across multiple business functions. This is an exciting opportunity to work with cutting-edge agentic AI architectures, build scalable AI solutions, and collaborate with a high-performing engineering team to accelerate innovation and business impact.

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 APIs.
  • 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.

Qualifications

  • 8+ years of hands-on experience in Python development and enterprise application development.
  • 2+ years of hands-on experience with LangGraph, including agent workflows, stateful orchestration, multi-agent systems, and AI-driven execution flows.
  • 2+ years of experience with LangChain, including building LLM-powered applications, tool integrations, retrieval-augmented generation (RAG), and workflow automation.
  • Strong understanding of agentic AI 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 APIs.
  • 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.
  • Excellent problem-solving, communication, and stakeholder management skills.

Nice to Have

  • Hands-on experience with Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.
  • Experience building and deploying multi-agent AI solutions in production.
  • Experience implementing Retrieval-Augmented Generation (RAG) architectures and knowledge-based AI systems.
  • Experience working with vector databases and semantic search technologies.
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Experience working on centralized AI platforms supporting multiple business functions and use cases.
  • Exposure to healthcare or other highly regulated enterprise environments.

Additional Information

We offer:

  • Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
  • Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
  • Wor