Senior AI Engineer, Python

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

📋 Description

• Design and enhance AI agents along with orchestration functionalities utilizing Python, LangGraph, and LangChain.

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

• Architect, develop, and refine 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.

• Facilitate modern AI integration frameworks and agent communication methodologies.

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

• Collaborate 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 architecture discussions, share best practices, and contribute to scalable AI engineering standards.

⛳️ Requirements

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

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

• Minimum of 2 years working with LangChain, focusing on LLM-powered applications, tool integrations, retrieval-augmented generation (RAG), and workflow automation.

• Solid 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.

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

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

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

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

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

• Knowledge of Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.

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

• 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 centralized AI platforms supporting a variety of business functions and use cases.

• Exposure to healthcare or other highly regulated enterprise environments.

🏝️ Benefits

• Comprehensive compensation and benefits package, including health insurance.

• Relocation assistance program.

• Flexibility to work remotely through a Work From Anywhere Culture.

• Opportunities for professional development.

• Access to certification programs.

• Mentorship and talent investment initiatives.

• Opportunities for internal mobility.

• Internship programs available.

• Engaging projects for top global clients.

• An inclusive and supportive workplace culture.

• Regular team-building social events organized by the company.