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, implement, and optimize conversational AI and chat-based user experiences.

• Execute agent planning, orchestration, memory management, tool invocation, and response generation capabilities.

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

• Support contemporary AI integration frameworks and agent communication methodologies.

• Establish AI observability, monitoring, telemetry, and performance tracking functionalities.

• Work collaboratively with engineering teams and stakeholders to expedite platform development and deliver business use cases.

• Address technical issues, enhance solution reliability, and promote ongoing platform improvements.

• Participate in architectural discussions, establish best practices, and uphold scalable AI engineering standards.

⛳️ Requirements

• 8+ years of practical experience in Python development and enterprise application development.

• 2+ years of hands-on experience with LangGraph, covering 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 grasp of agentic AI principles, including AI agents, planning, orchestration, memory management, and tool-calling frameworks.

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

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

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

• Familiarity with AI observability, monitoring, telemetry, and evaluation platforms.

• Comprehensive knowledge of software engineering best practices, testing, debugging, and performance optimization.

• Experience in Agile development environments and collaboration with cross-functional teams.

• Exceptional problem-solving, communication, and stakeholder management abilities.

• Hands-on experience with Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.

• Proven experience in building and deploying multi-agent AI solutions in production contexts.

• Expertise in implementing RAG architectures and knowledge-based AI systems.

• Experience with vector databases and semantic search technologies.

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

• Experience working on centralized AI platforms that support multiple business functions and use cases.

• Exposure to healthcare or other highly regulated enterprise environments.

🏝️ Benefits

• 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.

• Collaboration on impactful projects for top global clients.

• Inclusive and supportive work environment.

• Open communication.

• Regular team-building company social events.

• Equal opportunity employment.