Senior AI Engineer, Python

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

📋 Description

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

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

• Design, construct, and optimize conversational AI and chat-based interactions.

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

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

• Support contemporary AI integration frameworks and agent communication methodologies.

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

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

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

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

⛳️ Requirements

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

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

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

• Deep understanding of agentic AI concepts, including AI agents, planning, orchestration, memory management, and tool invocation frameworks.

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

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

• Experience in designing and implementing conversational AI and chat-based applications in operational 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 abilities.

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

• Experience in developing and deploying multi-agent AI solutions in production.

• Proficiency in implementing Retrieval-Augmented Generation (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 in working on centralized AI platforms that support multiple business functions and use cases.

• Exposure to healthcare or other highly regulated enterprise environments.

🏝️ 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 initiatives.

• Internal mobility opportunities.

• Internship opportunities.

• Engaging projects for top global clients.

• An inclusive and supportive work environment.

• Regular team-building social events.