Senior AI Engineer, Python

This is a fully remote position, open to applicants in Canada.

📋 Description

• Develop and enhance AI agents and orchestration functionalities utilizing Python, LangGraph, and LangChain.

• Create and expand AI-driven guided workflows and automation features.

• Design, develop, and optimize conversational AI and chat-based user experiences.

• Implement capabilities for agent planning, orchestration, memory management, tool-calling, and response generation.

• Integrate AI agents and applications with enterprise systems, services, and APIs.

• Support modern AI integration frameworks and agent communication methodologies.

• Implement AI observability, monitoring, telemetry, and performance tracking features.

• Collaborate closely with engineering teams and stakeholders to expedite platform development and the delivery of business use cases.

• Troubleshoot technical issues, enhance solution reliability, and drive ongoing improvements to the platform.

• Contribute to architectural discussions, best practices, and the adoption of scalable AI engineering standards.

⛳️ Requirements

• 8+ years of hands-on experience in Python development and enterprise application development.

• 2+ years of practical experience with LangGraph, including agent workflows, stateful orchestration, multi-agent systems, and AI-driven execution flows.

• 2+ years of experience with LangChain, encompassing the development of LLM-powered applications, tool integrations, retrieval-augmented generation (RAG), and workflow automation.

• Strong understanding of agentic AI principles, including AI agents, planning, orchestration, memory management, and tool-calling frameworks.

• Proven experience in building and deploying production-quality Generative AI applications and solutions.

• Familiarity with integrating AI applications with enterprise platforms, backend services, and APIs.

• Experience in designing and implementing conversational AI and chat-based applications in production settings.

• Knowledge of AI observability, monitoring, telemetry, and evaluation platforms.

• Strong grasp of software engineering best practices, including 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.

• Experience in building and deploying multi-agent AI solutions in a production context.

• Experience with implementing Retrieval-Augmented Generation (RAG) architectures and knowledge-based AI systems.

• Familiarity with vector databases and semantic search technologies.

• Experience with cloud platforms such as Azure, AWS, or GCP.

• Experience with centralized AI platforms that support various business functions and use cases.

• Exposure to healthcare or other highly regulated enterprise environments.

🏝️ Benefits

• Comprehensive compensation and benefits package, including health insurance.

• Relocation program.

• Flexibility for remote work / Work From Anywhere Culture.

• Opportunities for professional development.

• Certification programs.

• Mentorship and talent investment initiatives.

• Internal mobility opportunities.

• Internship programs.

• An inclusive and supportive work environment.

• Regular team-building social events for the company.