Archived listing. The details below describe a past opening.
Company Description Panda AI Lab (Canada) Inc. is an early-stage AI venture based in British Columbia, Canada, focused on practical, real-world applications of AI and automation. The lab designs tools that improve personal productivity and small team workflows, emphasizing solutions that quietly save time and reduce cognitive load. Core areas include AI-assisted workflows, lightweight web and infrastructure tools, and automation for everyday operational challenges. Founded by an experienced software and IT professional, the lab is currently in active R&D and early product exploration. As a small, curiosity-driven team, Panda AI Lab offers opportunities to work closely with the founder and influence the direction of emerging products.
Role Description The Forward Deployed Engineer is a full-time, on-site role based in the Greater Vancouver Metropolitan Area. This role involves working closely with the founder and early users to design, implement, and iterate on AI-driven tools and automation solutions, from back-end services to lightweight web interfaces. The engineer will be responsible for building and deploying production-quality software, integrating AI models and APIs, and refining workflows based on real-world feedback. Day-to-day tasks include developing new features, debugging and improving existing systems, managing infrastructure for small-scale deployments, and creating technical documentation for internal and external stakeholders. The role requires a hands-on, experimental mindset, with frequent prototyping, testing, and adaptation to evolving product ideas.
Qualifications
- Solid foundation in Computer Science, including algorithms, data structures, and software design principles.
- Strong skills in Software Development and Programming, with experience building and maintaining production-grade applications.
- Proficiency in Back-End Web Development, including APIs, databases, and server-side frameworks.
- Hands-on experience with Object-Oriented Programming (OOP) and modular, maintainable code practices.
- Familiarity with AI/ML tooling, APIs, or model integration in practical applications is highly beneficial.
- Comfort with Linux-based environments, scripting, and basic infrastructure or DevOps practices for small deployments.
- Ability to work independently in a small, experimental setting, collaborate directly with users, and translate ambiguous needs into concrete technical solutions.
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
