Senior AI Engineer, Python

🔥 14 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 25%

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Miratech

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1989

🤝 B2B

💼 Consulting

☁️ SaaS

💰 Private Equity Round on 2022-04

B2B • Consulting • SaaS

Miratech is a global IT services and consulting company dedicated to helping visionaries change the world. Specializing in outsourcing, software development, and professional services, Miratech supports digital transformation for some of the largest enterprises worldwide. By combining enterprise and start-up innovation, Miratech remains at the forefront of technology while maintaining agility and a culture of relentless performance that has led to high engagement success since its founding in 1989.

📋 Description

• 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 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 scalable AI engineering standards

🎯 Requirements

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

🏖️ Benefits

• Comprehensive compensation and benefits package • Health insurance • Relocation program • Remote work flexibility / Work From Anywhere Culture • Professional development opportunities • Certification programs • Mentorship and talent investment programs • Internal mobility opportunities • Internship opportunities • Opportunity to collaborate on impactful projects for top global clients • Inclusive and supportive work environment • Regular team-building company social events

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