Senior AI Engineer, Python

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

📋 Description

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

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

• Develop, refine, and optimize conversational AI and chat-based interactions.

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

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

• Facilitate the adoption of contemporary AI integration frameworks and agent communication methodologies.

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

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

• Address technical issues, enhance solution reliability, and promote continuous improvements in the platform.

• Engage in architecture discussions, share best practices, and advocate for scalable AI engineering standards.

⛳️ Requirements

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

• More than 2 years of direct experience with LangGraph, covering agent workflows, stateful orchestration, multi-agent systems, and AI-driven execution processes.

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

• Deep understanding 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.

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

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

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

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

• Excellent problem-solving abilities, communication skills, and stakeholder management expertise.

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

• Background in building and deploying multi-agent AI solutions in production settings.

• Experience in implementing Retrieval-Augmented Generation (RAG) architectures and knowledge-based AI systems.

• Familiarity with vector databases and semantic search technologies.

• Experience with cloud platforms, including Azure, AWS, or GCP.

• Background in centralized AI platforms that support various business functions and use cases.

• Exposure to healthcare or other highly regulated enterprise environments.

🏝️ Benefits

• Health insurance.

• Relocation program.

• Flexibility for remote work / Work From Anywhere culture.

• Opportunities for professional development.

• Access to certification programs.

• Mentorship and investment in talent programs.

• Internal mobility opportunities.

• Internship opportunities.

• Collaboration on impactful projects for leading global clients.

• An inclusive and supportive work environment.

• Regular team-building and social events within the company.