Senior AI Engineer, Python

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

📋 Description

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

• Create and expand AI-enabled guided workflows and automation functionalities.

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

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

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

• Support contemporary AI integration frameworks and agent communication patterns.

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

• Collaborate with engineering teams and stakeholders to expedite platform development and business use case implementation.

• Troubleshoot technical issues, enhance solution reliability, and promote continuous platform improvements.

• Contribute to architecture discussions, establish best practices, and define scalable AI engineering standards.

⛳️ Requirements

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

• More than 2 years of hands-on experience with LangGraph, encompassing agent workflows, stateful orchestration, multi-agent systems, and AI-driven execution flows.

• At least 2 years of experience with LangChain, including LLM-powered applications, tool integrations, retrieval-augmented generation (RAG), and workflow automation.

• Strong grasp of agentic AI concepts, such as 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.

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

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

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

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

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

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

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

• Expertise in 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 in centralized AI platforms supporting multiple business functions and use cases.

• Exposure to healthcare or other highly regulated enterprise settings.

🏝️ Benefits

• Comprehensive compensation and benefits package, which includes 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 opportunities.

• Engaging projects for top global clients.

• An inclusive and supportive work environment with open communication.

• Regular team-building social events within the company.