Staff AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and deploy production AI code on a daily basis.

• Spearhead semantic retrieval, indexing, and knowledge graph strategies on the data platform.

• Empower agents to assist customers and obtain comprehensive customer context in a single interaction.

• Construct inference and signal layers utilizing the Iceberg-based lakehouse.

• Write scored inferences back to the data platform and provide signals through contracts for other teams.

• Transform identified conditions such as churn risk, usage and entitlement discrepancies, and expansion opportunities into actionable workflows.

• Choose suitable large models, small fine-tuned models, or deterministic code for each specific workload.

• Oversee inference costs effectively.

• Take ownership of evaluation and observability for AI systems.

• Define engineering patterns for other teams to follow.

• Collaborate with engineering and business leaders to translate company objectives into delivered systems.

• Work in conjunction with observability, the core data platform, insights and intelligence, as well as product and platform teams.

⛳️ Requirements

• Over 8 years of software engineering experience, with at least 3 years of delivering AI or ML systems to production.

• Strong programming fundamentals with advanced proficiency in at least one language used for AI and data tasks; Python is the primary language for ML and insights.

• Proficient in advanced SQL, transformation layers such as dbt, and distributed query engines over lakehouse or warehouse storage.

• Experience in evaluating query costs and partitioning strategies.

• Background in production retrieval and context engineering, including embeddings, vector search, hybrid or graph retrieval, and retrieval evaluation.

• Familiarity with agentic systems and durable workflows in production, encompassing tool calling, state and memory management, and human-in-the-loop patterns.

• Knowledge of evaluation and observability for AI systems, including tracing, prompt and version management, and dataset-driven testing.

• Experience with cloud deployment of containerized services; AWS is preferred.

• Accountability for inference costs.

• B.S. in Computer Science or equivalent practical experience.

• Experience in establishing shared data or ML capabilities for other teams.

• Knowledge of small and fine-tuned models, including the distillation of task-specific models.

• Proficiency in OpenTelemetry and managing high-volume logs, metrics, and traces.

• Understanding of data governance principles covering access control, lineage, and data residency.

• Experience in Enterprise SaaS or CMS, with familiarity with Drupal-based DXP.

• Awareness of AI-assisted coding tools such as Claude, Cursor, or Copilot, as well as MCP or similar technologies.

• Excellent communication skills for presenting AI system designs to engineering teams and C-suite stakeholders.

• Proven track record as a senior individual contributor and mentor through technical work.

• Demonstrated AI fluency, an orchestration mindset, radical adaptability, a builder mentality, and intellectual humility.

🏝️ Benefits

• Competitive healthcare coverage.

• Wellness programs.

• Flexible time off as needed.

• Parental leave.

• Recognition programs.