Senior AI Engineer, Python

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

📋 Description

• Create and enhance AI agents as well as orchestration capabilities utilizing Python, LangGraph, and LangChain.

• Develop and expand AI-driven guided workflows along with automation functionalities.

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

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

• Connect AI agents and applications to enterprise systems, services, and APIs.

• Support contemporary AI integration frameworks and agent communication models.

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

• Work collaboratively 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 establish scalable AI engineering standards.

⛳️ Requirements

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

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

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

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

• Proven experience in building and deploying production-quality Generative AI applications and solutions.

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

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

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

• Strong foundation in software engineering best practices, including testing, debugging, and performance optimization.

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

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

• Practical 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).

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

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

• Experience with cloud platforms like Azure, AWS, or GCP (preferred).

• Background in developing centralized AI platforms that support various business functions and use cases (preferred).

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

🏝️ Benefits

• Comprehensive salary and benefits package.

• Health insurance coverage.

• Relocation assistance program.

• Flexibility for remote work / Work From Anywhere culture.

• Opportunities for professional development.

• Certification programs available.

• Mentorship and talent investment initiatives.

• Opportunities for internal mobility.

• Internship opportunities offered.

• Chance to work on significant projects for leading global clients.

• An inclusive and supportive workplace environment.

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