Senior Software Engineer – AI

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

📋 Description

• Develop AI agents and products for both customers and internal teams focused on safety and compliance, toll management, and weigh station bypass.

• Enhance the enterprise context layer by integrating connectors, retrieval systems, permission enforcement, and MCP access.

• Create agentic engineering tools and methodologies utilized across various engineering teams.

• Automate workflows for tasks that do not require an agent's intervention.

• Deliver production software regularly in small increments, managing projects from initial specifications to final launch.

• Set up and manage infrastructure, environments, pipelines, and deployments.

• Transform ambiguous problems from product, support, and engineering into well-defined requirements.

• Take ownership of deployed systems post-launch, which includes monitoring, evaluations, cost management, and handling failures.

• Provide mentorship to engineers within the team and across the engineering department.

• Define tasks, review the output of coding agents, run agents concurrently, and utilize tests, CI, and agent reviews to ensure quality.

⛳️ Requirements

• Senior engineer with a proven history of frequently shipping software to production and maintaining ownership afterwards.

• Experience in delivering AI agents or AI features to production that users currently rely on.

• Expertise in Agentic SDLC, with coding agents as the main method for software development.

• Advanced proficiency in Python and/or TypeScript.

• Practical experience with LLM APIs, MCP and agent frameworks, including knowledge of when not to implement one.

• Familiarity with retrieval systems (search, RAG) and permission-aware data access.

• Experience using evaluations and data analytics to determine when an agent is ready for deployment and assess its performance.

• DevOps experience with Docker, Kubernetes or managed container platforms, infrastructure as code (Terraform or a similar tool), and CI/CD pipelines.

• Experience managing production services, including observability (Datadog or comparable tools), alerting, secrets and identity management, and incident response.

• Proficient in SQL and PostgreSQL.

• Strong verbal communication skills, ability to work autonomously, and openness about areas of uncertainty.

• Preferred, but not required: experience in fleet operations, transportation, or logistics.

• Preferred, but not required: familiarity with Databricks, including Unity Catalog or Genie.

• Preferred, but not required: knowledge of enterprise search connectors and vector databases.

• Preferred, but not required: experience with identity and access control for services and agents.

• Preferred, but not required: background in workflow orchestration or automation platforms.

• Preferred, but not required: experience with Azure or AWS.

🏝️ Benefits

• Opportunity to work on cutting-edge AI technology.

• Collaborative and innovative work environment.

• Professional development and mentorship opportunities.

• Competitive salary and benefits package.