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Syndio · 1 month ago

Senior AI Engineer (Seattle, Washington or San Francisco, CA)

United States

Full-time

Onsite

Senior Level

$157K/yr - $185K/yr

Syndio is a Series C technology company focused on equitable compensation practices through advanced technology and responsible AI. The Senior AI Engineer will design, build, and scale AI systems that address complex compensation and compliance challenges while collaborating with a cross-functional team.

AnalyticsHuman ResourcesSoftware

Growth Opportunities

No H1B

Responsibilities

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

Qualification

PythonAI/ML systemsGoogle Cloud PlatformLLM-based applicationsEvaluation methodologiesMachine learning conceptsAI-assisted development toolsNatural curiosityAdaptabilityCommunication skills

Required

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

Applicants must currently reside within commuting distance of Seattle, Washington or San Francisco Bay Area, for consideration

Must be eligible to work in the United States legally, as we are NOT able to provide visa support or transfer at this time