Overview Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals. Our customers are our greatest asset. Syndio partners with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes. Join us in our mission to help companies make smarter pay decisions they can trust! About The Role We are seeking a talented Staff-level AI Developer to join our applied AI team. In this role, you will be responsible for designing, building, and scaling our AI systems that solve complex problems related to compensation and compliance. You’ll work closely in a cross-functional squad that includes data scientists, software engineers, product managers, and business stakeholders. You will have the opportunity to work at the forefront of AI innovation–exploring emerging tools and techniques while translating them into production-ready solutions that deliver real business impact. Why This Job Is Exciting Design, develop, and deploy production AI/ML systems that deliver business impact to our customers. Build and maintain LLM-based applications leveraging context engineering techniques and toolsets. Collaborate with data scientists to transition approved proof of concepts from a research environment into production. Integrate AI capabilities into existing products and services through APIs and microservices. Design and implement evaluation frameworks to assess model accuracy, reliability, and task-specific performance. Monitor production performance and implement optimizations based on evaluation metrics and real-world usage patterns. Stay up-to-date with the rapid changes in the AI landscape and prototype new ideas quickly. About You Proficiency developing clean modular and efficient code with Python Track record building and deploying AI systems within Google Cloud Platform, familiarity with BigQuery, Firebase, and Vertex AI Working knowledge of Google Gemini, OpenAI, and Anthropic APIs Familiarity with evaluation methodologies for assessing LLM accuracy, hallucinations, and task-specific performance Exposure to—or strong interest in—vector databases, semantic search, agent frameworks, and protocols like MCP for connecting AI systems to external tools and data sources Fluent with AI-assisted development tools (Cursor, Claude Code, GitHub CoPilot) Foundational knowledge of machine learning concepts, model architectures, and LLM capabilities and constraints Natural curiosity and passion for staying current with rapidly evolving AI technologies Ability to balance innovation with practical business requirements Adaptable when navigating ambiguity and rapidly shifting priorities Comfortable communicating technical concepts and trade-offs to non-technical stakeholders Bonus Points Bachelor's degree in Computer Science, Machine Learning, Mathematics, Statistics, Data Science, or quantitative field OR equivalent hands-on experience in a related professional industry How We Work We believe in starting simple, soon — progress over perfection. We value architectural clarity and execution speed. You’ll be joining a small, ambitious team committed to high trust, low ego collaboration. It’s a dynamic environment where teams embrace ambiguity, adapt quickly to change, and move fast to seize opportunity. As such, we empower engineers to make bold moves and back it up with a culture that supports learning through iteration. Applicants must currently reside within commuting distance of Calgary, Alberta, Canada for consideration. Relocation is not currently offered. Kindly note, you must also be eligible to work in Canada legally, as we are NOT able to provide visa support or transfer at this time. Why You'll Love It Here Competitive Compensation. For this role our base salary is targeted at 205-240k CAD. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. Syndio Equity. So you can share in Syndio’s success. 20 days annually. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave. Pension Contribution Remote-First with opportunities for local meet-ups in Calgary Role Progression Month 1: Immediate Impact. From day one, you'll be immersed in our platform, infrastructure, and codebase. A key deliverable for your first month will be deploying a feature that demonstrates your grasp of our systems and your ability to execute effectively. Month 2: Proactive Contribution. You'll move beyond the initial learning phase and take a proactive role in identifying opportunities for improvement. This will involve deep dives into our endpoints, independent problem-solving, and a demonstrated ability to iterate and enhance our product. Month 3: Driving Innovation. By the third month, you'll be a fully integrated member of our AI team, operating at full capacity. This includes active participation in technical discussions, independent execution of complex tasks, and the ability to propose and implement innovative technical solutions. The Interview Overview 30 min - Phone call with a member of our Talent Team 75 min - Zoom interview with the Hiring Manager Skills Evaluation - Take-home Assignment 75 hr - Technical Interview with Team 30 min - Executive Interview Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age. #J-18808-Ljbffr