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About Planet
Planet is a leading technology company transforming payments by putting customer experience first. We offer integrated solutions that include:
- Payment processing
- VAT refunds
- Dynamic currency conversion
- Management services for merchants in the Retail and Hospitality sectors worldwide.
In recent years, we’ve experienced significant growth, expanding our services and global presence. With strong backing from private equity investors Advent International and Eurazeo, we combine financial capital and expertise to accelerate growth via acquisitions. Our mission? To create a world of connected commerce where payments are simple, secure, and seamless, enabling our partners to deliver exceptional experiences for their customers.
Role Overview: AI Workflows & Decision Automation Engineer
This role is dedicated to designing, delivering, and continuously improving production AI workflows that automate and augment internal processes across:
- HR
- Finance
- Operations
- CRM
You’ll be responsible for both building the technology and ensuring its decision-making quality—developing AI agents, prompts, retrieval pipelines, and logic that business users can trust. Over time, you’ll enhance performance through measurement and real-world feedback.
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Impact: Reliable, auditable AI reduces manual workloads while improving efficiency, accuracy, and speed of operational decisions.
What You’ll Do
- Design and build production-grade AI workflows, integrating across internal systems (HR, Finance, Operations, CRM).
- Implement orchestration logic—including triggers, retries, fallbacks, and human-in-the-loop patterns—to ensure reliable, observable, and auditable workflows.
- Develop, maintain, and improve:
- AI agents
- Prompts
- Retrieval pipelines
- Decision logic
- Own model behavior in production:
- Accuracy and usefulness
- Failure modes
- Edge-case and ambiguity handling
- Iterate on model performance using:
- Evaluation frameworks
- Feedback loops
- Real-world data
- Take full accountability for decision quality and outcomes—not just code—by defining and tracking metrics such as:
- Accuracy
- Resolution rate
- Time saved
- Diagnose cases where systems operate technically but deliver poor results and take corrective action.
- Collaborate with Data Engineering on shared platforms such as:
- Infrastructure
- CI/CD
- Data pipelines
- Security & governance
- Contribute to shared AI system best practices (schemas, standards).
Who You Are
Must-Have
- Strong background in software engineering (Python preferred), with experience building production systems—not just prototypes.
- Hands-on experience with AI/ML systems (e.g., LLMs, classifiers, decision models).
- Experience with:
- API integrations
- Distributed systems
- Prompt design
- Retrieval pipelines
- ML inference workflows
- Solid grasp of:
- Model evaluation
- Monitoring & feedback loops
- Structured and unstructured data
- Product-oriented mindset: Focuses on outcomes, not shipping code; pragmatic about AI for production.
- Comfortable with ambiguity and trade-offs.
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Nice-to-Have (Bonus)
- Experience with workflow orchestration tools (Temporal, Airflow, AWS Step Functions).
- Building internal tools/agents.
- Familiarity with regulated/enterprise environments.
- Exposure to MLOps or AI evaluation frameworks.
Why Join Planet?
- Equal opportunity employer: Diversity is valued. All roles are merit-based.
- Work in the most dynamic tech space: Connected commerce is powered by innovation.
- Hybrid model: 3 days on-site, flexibility to balance work.
- Groow your career in a growing, impact-driven company.
- Sense of purpose: Deliver payment solutions that create truly exceptional customer experiences.
Apply now and shape the future of intelligent decision-making at Planet! ✨
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