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, develop, and optimize conversational AI and chat-based interactions.

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

• 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 features.

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

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

• Contribute to architectural discussions, best practices, and scalable AI engineering standards.

⛳️ Requirements

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

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

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

• Deep understanding of agentic AI concepts, such as AI agents, planning, orchestration, memory management, and tool-calling frameworks.

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

• Proven track record of integrating AI applications with enterprise platforms, backend services, and APIs.

• Experience designing and implementing conversational AI and chat-based applications in live environments.

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

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

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

• Excellent 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 production settings.

• Experience 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.

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

• Exposure to healthcare or similarly regulated enterprise environments.

🏝️ Benefits

• Competitive Pay and Benefits: a comprehensive compensation and benefits package, including health insurance.

• Relocation assistance program.

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

• Opportunities for professional development.

• Certification programs available.

• Mentorship and talent investment initiatives.

• Internal mobility opportunities.

• Internship programs.

• Collaboration on impactful projects for top global clients.

• An inclusive and supportive work environment with open lines of communication.

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

• Social sustainability initiatives focused on IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.