Backend Engineer, LLMs, Autonomous Agents

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

📋 Description

• Familiarize yourself with the current codebase and product requirements.

• Collaborate closely with Product Management to design and implement solutions.

• Work in tandem with the Frontend Engineer to deliver comprehensive product segments.

• Utilize AI-native development tools (Claude, Cursor, and similar) as the primary engineering environment.

• Contribute to the ongoing development of Ascend’s Agentic Framework.

• Influence AI-enhanced architecture and infrastructure decisions.

• Internalize and enhance Ascend’s software builder principles.

• Deliver high-quality code punctually and progressively increase delivery capacity.

• Support teammates by reviewing code and enhancing documentation.

• Propel sustained improvements in product velocity across the wider engineering organization.

• Serve with dedication in the “inverted hierarchy”.

• Act with the passion, speed, and accountability of an entrepreneur.

• Set high standards as the mission is of great importance.

• Collaborate across functions and organizations with a collegial spirit.

• Infuse positivity, optimism, and enthusiasm into the work and team dynamics.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field; equivalent professional experience will be considered.

• Extensive experience as a backend or full-stack engineer in building and deploying production software, preferably in a fast-paced startup, AI, or enterprise SaaS context.

• Strong expertise in modern backend languages and frameworks (e.g., Python, TypeScript/Node.js, Go), with a history of designing scalable APIs and services.

• Practical experience integrating with foundational model APIs (OpenAI, Anthropic, or similar) and developing agentic or LLM-powered features in production.

• Proven familiarity with AI-native development environments (Claude, Cursor, Copilot, or similar) and a clear perspective on how these tools enhance engineering efficiency.

• Strong judgment regarding ROI and the ability to balance close customer collaboration with disciplined prioritization, building toward a long-term vision without getting sidetracked by low-leverage tasks.

• Working knowledge of cloud infrastructure (AWS, GCP, or Azure), CI/CD pipelines, containerization, and secure coding practices.

• Excellent communication skills and the capability to build trust quickly with Product Managers, fellow engineers, and non-technical Partner Firm leaders.

• A bias toward delivery, intellectual curiosity, and a genuine enthusiasm for transforming a traditional industry through AI.

🏝️ Benefits

• Competitive salary

• Flexible working hours

• Professional development budget

• Home office setup allowance

• Global team events