Principal General Artificial Intelligence Engineer, Anaplan

• Software engineering experience with a focus on ML/AI systems
• Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers)
• Experience building and deploying LLM-powered applications in production
• Proficiency in front-end development with React, TypeScript, and modern web technologies
• Understanding of RESTful API design, microservices architecture, and cloud infrastructure
• Experience with prompt engineering, RAG systems
• Strong foundation in ML fundamentals, including NLP, time-series analysis, or recommender systems
• Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
• Excellent problem-solving skills and attention to detail
• Bachelor's degree in computer science, Machine Learning, or related field

Desirable

• We're seeking a versatile Principal GenAI Engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces
• You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills
• Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments
• Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementation
• Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language
• Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics
• Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations
• Optimize model inference pipelines for performance, cost, and scalability in production environments
• Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour
• Collaborate with data scientists to productionize ML models and forecasting algorithms
• Write comprehensive tests, including unit tests, integration tests, and prompt regression suites
• Participate in code reviews, technical design discussions, and knowledge-sharing sessions
• Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption