Software Engineer building scalable full-stack and production AI features for Athennian’s corporate entity governance platform. Driving architecture, testing, security, and modern TypeScript development.
Responsibilities
Develop, test, and deploy high-quality, scalable software solutions
Participate in technical discussions and contribute to system architecture decisions
Focus system design on configurability and long-term maintainability
Lead the design, implementation, and maintenance of production AI capabilities such as RAG systems, vector search, LLM integrations, and autonomous agents
Leverage AI-assisted development tools while maintaining code integrity
Collaborate with product managers, designers, and engineers to translate user needs into features and improvements
Optimize application performance and ensure security and reliability
Conduct thorough code reviews
Identify and resolve technical challenges and propose solutions
Contribute to continuous improvement of development processes
Evaluate and adopt emerging technologies, including LLM integrations and automated testing advancements
Guide the team on modern engineering best practices, TypeScript typing, and AI prompting for complex refactors
Collaborate with cross-functional teams to deliver full-stack solutions
Report to the Sr Engineering Manager
Requirements
5+ years of software engineering experience building scalable, enterprise-grade applications
Experience in fast-paced software startup environments where shipping and iterating quickly is essential
Proven track record of shipping and operating real-world AI features in a live product, including RAG, LLM integrations, vector search, or AI agents
Strong expertise in JavaScript/TypeScript environments, specifically the MEAN stack: MongoDB, Express, Angular, and Node.js
Fluency with AI-assisted coding tools such as Cursor and Copilot
Experience with automated testing using Jest, Cypress, and Playwright
Experience with CI/CD and cloud infrastructure including AWS, GCP, Azure, and Docker
Solid relational/NoSQL database foundation
Experience with vector search or search indexing, such as MongoDB Atlas Vector Search
Security-first mindset for handling sensitive corporate data
Ability to explain technical and AI trade-offs to non-technical partners
Must be able to live and work full-time in Canada
Benefits
Minimum of 3 weeks vacation
5 sick days
6 personal/flex days
Company-wide winter holiday shutdown
Health, dental, and vision coverage
Long-term disability
Health Spending Account (HSA)
Flexible parental leave benefits, including top-ups
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