Senior AI Engineer (Python)

Location: Remote, Toronto, Canada

Company

hirify.global is a global IT services and consulting company delivering digital transformation and technology solutions for enterprise and startup clients across more than 25 countries.

What you will do

• Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
• Build AI-enabled guided workflows, automation capabilities, and conversational chat-based experiences.
• Implement agent planning, orchestration, memory, tool-calling, response generation, and modern agent communication patterns.
• Integrate AI applications with enterprise platforms, backend services, APIs, and other systems.
• Implement AI observability, monitoring, telemetry, evaluation, and performance-tracking capabilities.
• Collaborate with engineering teams and stakeholders, troubleshoot technical challenges, contribute to architecture discussions, and improve platform reliability.

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, 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, and 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, plus strong problem-solving, communication, and stakeholder management skills.

Nice to have

• 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 with vector databases, semantic search technologies, and 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.

Culture & Benefits

• Remote work with a work-from-anywhere culture.
• Health insurance, a comprehensive compensation and benefits package, and a relocation program.
• Professional development through certification programs, mentorship, talent investment, internal mobility, and internship opportunities.
• Global projects, an inclusive multicultural environment, open communication, and regular team-building events.
• Values focused on sustainable business practices, IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.