This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Planet DDS is building a centralized intelligence layer focused on transforming how our internal teams operate through agentic workflows. We’re seeking a founding Senior Applied AI / ML Engineer to serve as the primary technical owner of this effort – designing, building, and scaling AI-powered workflows that reduce low-value, repetitive, and error prone work, increase clarity, and unlock higher-impact outcomes across the organization and for Planet DDS’ customer base.
Job Responsibility:
Design, build, and scale production-grade agentic workflows that observe operational signals, reason across data, and take or recommend actions such as alerts, task creation, and decision support
Own the AI execution layer, including prompt architecture, orchestration, evaluation, monitoring, logging, and tool creation including but not limited to MCP
Translate business needs and operational challenges into clear technical approaches and delivery plans, resulting in scalable, reusable AI solutions
Partner closely with data engineering to define AI-ready schemas and data contracts
Partner with internal stakeholders to define, prioritize, and iterate on AI use cases
Implement cost controls, performance monitoring, and quality checks for AI systems
Ensure AI systems are secure, governed, auditable, and reliable
Drive solutions from concept to production without heavy process or handoffs
Requirements:
5-7+ years of experience in software engineering or applied machine learning
Demonstrated experience productionizing AI or LLM-based systems
Strong proficiency in Python and API-driven architectures
Hands-on experience with prompt engineering, evaluation, and optimization
Experience designing systems that operate with incomplete, evolving, or noisy data, and weighing in on how best to optimize around that data
Proven ability to integrate Azure OpenAI or similar LLM platforms into orchestrated workflows
Experience orchestrating multi-step, event-driven workflows using services such as Azure Functions, Logic Apps, Service Bus, Event Grid, or Durable Functions
Experience designing and deploying cloud-native AI workflows in Microsoft Azure
Strong understanding of secure system connectivity in Azure, including identity, secrets management, and access control
Familiarity with AI cost optimization strategies
Proven ability to operate independently and drive work end-to-end
Experience in B2B SaaS or operational technology environments