Job DescriptionJob Description
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 AI Engineer 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 PythonTrack record building and deploying AI systems within Google Cloud Platform, familiarity with BigQuery, Firebase, and Vertex AIWorking knowledge of Google Gemini, OpenAI, and Anthropic APIsFamiliarity with evaluation methodologies for assessing LLM accuracy, hallucinations, and task-specific performanceExposure to—or strong interest in—vector databases, semantic search, agent frameworks, and protocols like MCP for connecting AI systems to external tools and data sourcesFluent with AI-assisted development tools (Cursor, Claude Code, GitHub CoPilot)Foundational knowledge of machine learning concepts, model architectures, and LLM capabilities and constraintsNatural curiosity and passion for staying current with rapidly evolving AI technologiesAbility to balance innovation with practical business requirementsAdaptable when navigating ambiguity and rapidly shifting prioritiesComfortable 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
Seattle, Washington for consideration. Relocation is not currently offered.Kindly note, you must also be eligible to work in the United States legally, as we are NOT able to provide visa support or transfer.Why you'll love it here:💰 Competitive Compensation. For this role our base salary is targeted at $157-185k 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, and voting leave. Paid parental 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 work model with local opportunities for meet-ups in our talent-hubs #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.
The Interview Overview:
Below you'll find an outline of the interview plan for our Senior AI Engineer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.
30 min - Phone call with a member of our Talent Team75 min - Zoom interview with the Hiring ManagerSkills Evaluation - Take-home Assignment75 hr - Technical Interview with Team30 min - Executive Interview
At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us.
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.
Read Less
