AI Engineer

Join Planet as an AI Engineer, where you will design, deliver, and maintain production AI workflows that automate and enhance various internal systems, including HR, Finance, Operations, and CRM. You will be responsible for the quality of the decisions made by the AI, ensuring reliability and accuracy. This role offers flexibility in work location and hours, opportunities for growth and skill development, and a commitment to workplace diversity.

• Design and build production-grade AI workflows that integrate across internal systems (HR, Finance, Operations, CRM).
• Implement the orchestration logic — triggers, retries, fallbacks, and human-in-the-loop patterns — so workflows run reliably, observably, and auditably.
• Own model behaviour in production: accuracy and usefulness, failure modes, and edge-case and ambiguity handling.
• Comfortable owning ambiguity and making trade-offs
• Experience designing prompts, retrieval pipelines, or ML inference workflows
• Experience integrating APIs and working with distributed systems
• Product-oriented — cares about outcomes, not just shipping code; pragmatic about AI and focused on what works in production
• Languages: English
• A plus, but not required: workflow orchestration tools (Temporal, Airflow, Step Functions); experience building internal tools or agents; familiarity with regulated or enterprise environments; exposure to MLOps or AI evaluation frameworks
• Hands-on experience with AI / ML systems (LLMs, classifiers, decision models, or similar)
• Strong software engineering background (Python or similar), with a track record of building production systems — not just prototypes
• Solid understanding of model evaluation, monitoring, and feedback loops; comfortable working with both structured and unstructured data