Job Title: Software Engineer II (P3) - Production AI (Metrics & Analytics)
Job Location: Redwood City, CA/ Los Angeles, CA (Hybrid)

Description:
AgreeYa is a global Systems Integrator and is seeking an experienced Software Engineer II (P3) - Production AI (Metrics & Analytics) to join our growing team.
As a Software Engineer II on the Production AI team, you will focus on evolving and scaling our AI metrics and analytics ecosystem. You'll take ownership of an existing metrics pipeline-stabilizing, extending, and operationalizing it-while partnering closely with internal stakeholders and external vendors to ensure data quality, reliability, and usability.

Job Responsibilities:
Own and evolve Production AI's metrics pipeline, improving reliability, scalability, and data quality
Diagnose and resolve pipeline issues, coordinating with external tool vendors and internal partners to drive fixes and improvements
Extend existing data pipelines to support new use cases, teams, and AI products
Design and implement analytics and visualization solutions (dashboards, reporting tools, data access layers) for stakeholders
Partner with product, engineering, and AI teams to define meaningful metrics and iterate on measurement strategies
Ensure data is accessible, trustworthy, and actionable for technical and non-technical consumers
Contribute to operational excellence through monitoring, alerting, and documentation of data systems
Support additional AI Foundations teams with similar metrics and analytics needs as required
Contribute to broader Production AI engineering efforts over time as domain knowledge grows

Required Skills & Experience:
3-5 years of professional software engineering experience or equivalent
Strong programming skills in Python, Typescript, or similar languages
Experience building, maintaining, or operating data pipelines or backend services
Experience working with APIs, data processing systems, and debugging production issues
Familiarity with cloud environments (e.g., AWS, GCP) and modern data tooling
Ability to independently own and deliver on moderately scoped projects
Strong communication skills and ability to collaborate with cross-functional stakeholders

Preferred Skills & Experience:
Experience with analytics, metrics systems, or data visualization tools (e.g., Tableau, Looker, Grafana)
Familiarity with generative AI tools (e.g., ChatGPT, Claude, Gemini) and agentic workflows
Experience working with third-party vendors or external platforms
Knowledge of data modeling, ETL/ELT pipelines, and data quality best practices
Experience building internal tools or platforms for developer or product teams
Familiarity with observability and monitoring systems

Additional Information:
Designing and scaling metrics systems for AI platforms at enterprise scale
Applying AI/LLM systems in production environments and measuring their impact
Partnering across a wide range of teams to shape how AI success is defined and tracked
Expanding into broader AI platform and application development within Production AI