Miratech
Senior AI Engineer (Python)
- Compensation
- Not disclosed
- Location
- Toronto, ca
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Internship
- Experience
- 2+ years
- Category
- Ai engineering
- Posted
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.
Full 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.
- 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.