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# Senior Software Engineer

- **Company:** CONEXIOM US INC.
- **Location:** Vancouver, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, C Sharp (Programming Language), Software as a Service, Code Generation, Code Review, Cursor, Programming Tools, Distributed Systems, Python (Programming Language), Enterprise Messaging Systems, Node.Js, OpenAI, Azure Active Directory, Azure Machine Learning, Software Safety, Search Technologies, Software Engineering, TypeScript, Workflow Management Systems, GitHub Copilot, ReactJS, Retrieval-Augmented Generation, Large Language Models, Claude Code, Prompt Engineering, Agentic-AI, Event Driven Architecture, Containerization, AI Platforms, Apache Kafka, Front End Software Development, Virtual Agents, Restful APIs, Docker
- **Published:** November 5, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pwttym5w9h

## About the Role

* 7+ years of professional software engineering experience, including hands-on production work with Node.js, TypeScript, and Python.
 * Proven ability to design, build, and operate SaaS applications in production - including RESTful API design, cloud platforms (Azure, AWS, or GCP), and independently leading technical initiatives from design through deployment.
 * Working knowledge of software architecture, distributed systems, security, observability, and reliability sufficient to make sound tradeoffs under production constraints.
 * Hands-on, daily use of modern AI development tools (GitHub Copilot, Cursor, Claude Code, or similar) and experience integrating LLMs via APIs (OpenAI, Anthropic, Azure OpenAI, Google).
 * Familiarity with agent frameworks, prompt engineering, retrieval patterns, and evaluation techniques.
 * Experience working in Agile software development environments.

Nice to Have

 * Experience with Microsoft .NET and C#.
 * Experience with React and modern frontend development.
 * Experience with Azure AI services and the Microsoft AI ecosystem.
 * Experience with event-driven architectures, Kafka, messaging systems, or workflow orchestration.
 * Experience with vector databases, embeddings, RAG implementations, or AI agent platforms.
 * Experience building enterprise automation, integration, ERP, or document-processing solutions.
 * Experience with containerization technologies such as Docker and Kubernetes.

## Description

You'll own production services across our Node.js, TypeScript, Python, React, and Azure stack, working closely with Product Managers, Architects, Data Engineers, Designers, and fellow Software Engineers to ship scalable solutions for mission-critical processes at some of the world's leading manufacturers and distributors.

In year one, success looks like: shipping AI-enabled features that measurably improve customer workflows, establishing patterns and best practices for reliable, secure AI-powered applications that other engineers adopt, and becoming a go-to technical mentor who raises the AI fluency of the broader engineering team.

What You'll Do

 * Designs and builds customer-facing features and platform services in Node.js, TypeScript, and Python that apply modern AI models, agent frameworks, vector search, and RAG patterns to real business problems.
 * Evaluates emerging AI technologies and establishes patterns and best practices for reliable, secure, observable AI-powered applications.
 * Owns the full lifecycle of production software - design, build, test, deploy, and operate - in a 24x7 SaaS environment, including REST APIs, event-driven services, and cloud-native integrations.
 * Diagnoses and resolves complex production issues and drives improvements to the scalability, reliability, and performance of existing systems.
 * Builds AI-assisted development into daily workflow and drives engineering productivity gains through automation, code generation, and testing acceleration.
 * Shapes engineering standards for AI safety, governance, and responsible use, and raises the AI fluency of the broader engineering organization.
 * Mentors intermediate and junior engineers and shapes technical direction through code review, architecture discussions, and sound judgment.
 * Partners with Product Management, Architects, Data Engineers, and Security teams on shared initiatives, and communicates technical tradeoffs clearly to both technical and non-technical audiences.