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About the Role

This role owns the design, delivery, and ongoing behavior of production AI workflows that automate and augment work across Planet’s internal systems (HR, Finance, Operations, and CRM). You will be accountable for shipping technology and ensuring the quality of decisions made by AI agents, prompts, and retrieval pipelines, improving them over time through measurement and feedback.

Responsibilities

• Design and build production-grade AI workflows that integrate across internal systems.
• Implement orchestration logic for reliable, observable, and auditable workflow execution.
• Develop and maintain AI agents, prompts, retrieval pipelines, and decision logic.
• Own model behavior in production, including accuracy, failure modes, and edge-case handling.
• Iterate on model performance using evaluation frameworks, feedback loops, and real-world usage data.
• Take accountability for decision quality and outcomes, defining and tracking success metrics.
• Diagnose and resolve cases where systems produce poor outcomes despite technical functionality.
• Partner with Data Engineering on shared platforms and contribute to AI system standards.

Requirements

• Strong software engineering background (Python or similar) with a track record of building production systems.
• Hands-on experience with AI/ML systems (LLMs, classifiers, decision models, or similar).
• Experience integrating APIs and working with distributed systems.
• Experience designing prompts, retrieval pipelines, or ML inference workflows.
• Solid understanding of model evaluation, monitoring, and feedback loops.
• Comfortable working with both structured and unstructured data.
• Product-oriented mindset, focused on outcomes and pragmatic AI application.
• Comfortable owning ambiguity and making trade-offs.
• English language proficiency.

Skills

• Python
• AI/ML systems
• LLMs
• Classifiers
• Decision models
• API integration
• Distributed systems
• Prompt design
• Retrieval pipelines
• ML inference workflows
• Model evaluation
• Model monitoring
• Feedback loops
• Structured data
• Unstructured data
• Workflow orchestration tools (Temporal, Airflow, Step Functions)
• Internal tools development
• Agent development
• Regulated environments
• Enterprise environments
• MLOps
• AI evaluation frameworks

Location

• Hybrid

Work Type

• Hybrid
• Full-time

Experience Level

• Production systems experience
• AI/ML systems experience
• API integration experience
• Distributed systems experience
• Prompt design experience
• ML inference workflow experience
• Model evaluation experience
• Model monitoring experience
• Feedback loop experience

About the Company

• Planet is a leading technology company transforming payments by putting customer experience first.
• Offers integrated solutions including payment processing, VAT refunds, dynamic currency conversion, and management services for merchants worldwide.
• Experienced significant growth and expanded services and global presence.
• Has strong private equity investors (Advent International and Eurazeo) for growth through acquisitions.
• Mission is to create a world of connected commerce where payments are simple, secure, and seamless.

Equal Opportunity

• Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need.
• Reasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.