Senior AI Engineer, Python

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

📋 Description

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

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

• Conceptualize, develop, and refine conversational AI and chat-based interactions.

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

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

• Support modern AI integration frameworks and agent communication methodologies.

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

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

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

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

• Develop and enhance an enterprise AI platform for intelligent workflows, conversational experiences, and AI-driven automation across various business functions.

⛳️ Requirements

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

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

• At least 2 years of experience with LangChain, including the construction of 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.

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

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

• Skilled 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 working in Agile development environments and collaborating 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 (preferred).

• Experience in building and deploying multi-agent AI solutions in production (preferred).

• Knowledge of implementing Retrieval-Augmented Generation (RAG) architectures and knowledge-based AI systems (preferred).

• Experience with vector databases and semantic search technologies (preferred).

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

• Experience on centralized AI platforms that support multiple business functions and use cases (preferred).

• Exposure to healthcare or other highly regulated enterprise settings (preferred).

🏝️ Benefits

• Comprehensive compensation and benefits package.

• Health insurance.

• Relocation program.

• Flexibility for remote work / Work From Anywhere Culture.

• Opportunities for professional development.

• Certification programs.

• Mentorship and talent investment initiatives.

• Options for internal mobility.

• Internship opportunities.

• Engaging projects for top global clients.

• Inclusive and supportive workplace environment.

• Regular team-building social events.