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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 the quality of the decisions made by these workflows, building agents, prompts, and retrieval pipelines that business users can trust and improving them over time through measurement and real-world feedback.
Responsibilities
- Design and build production-grade AI workflows that integrate across internal systems (HR, Finance, Operations, CRM).
- Implement orchestration logic including triggers, retries, fallbacks, and human-in-the-loop patterns for reliable, observable, and auditable workflows.
- Develop and maintain AI agents, prompts, retrieval pipelines, and decision logic.
- Own model behavior in production, including accuracy, usefulness, 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 such as accuracy, resolution rate, and time saved.
- Diagnose and resolve cases where systems produce poor outcomes despite technical functionality.
- Partner with Data Engineering on shared platforms and contribute to standards for AI systems.
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, pragmatic about AI, and focused on production viability.
- Comfortable owning ambiguity and making trade-offs.
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 or agents development
- MLOps
- AI evaluation frameworks
Location
- Global
Work Type
- Hybrid
Experience Level
- 3+ years experience
About the Company
- Planet is a global provider of integrated technology and payments solutions for retail and hospitality customers.
- We create great experiences for the millions of people who use our payments, software, and tax-free solutions every minute of every day.
- Planet empowers its customers to deliver great customer experiences by combining payments and software in ways that drive greater loyalty, increase revenue and save time.
- Founded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in more than 120 markets.
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.