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 (e.g., new foundation models, quantization techniques) 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.

• 💰 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 #LI-Remote 

Role progression:

• Month 1: Immediate Impact
  From day one, you'll be immersed in our platform, infrastructure, and codebase. We expect a rapid learning curve and the ability to quickly contribute. 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.

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 (e.g., new foundation models, quantization techniques) 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.

• 💰 Competitive Compensation. For this role our base salary is targeted at $215-255k USD. 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.
• 🏝  Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave. 
• 🩺  Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
• 🏥  Life Insurance & Disability. Syndio covers the full premium.
• 🏦 401(k). To help you save for your future
• 📍 Remote-first for candidates living in the following approved U.S. states: AZ, CA, CO, CT, DC, FL, GA, ID, IL, IA, MD, MA, MN, NE, NJ, NY, OH, OR, PA, RI, SC, SD, TX, UT, VT, VA, WA, and WI #LI-Remote

Role progression:

• Month 1: Immediate Impact
  From day one, you'll be immersed in our platform, infrastructure, and codebase. We expect a rapid learning curve and the ability to quickly contribute. 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.