Anaplan
Principal Engineer, AI
Pennsylvania-Remote, United States · Principal
Sponsorship not specifiedDetected 1 day ago
PythonFull-Stack DevelopmentAlgorithmsCode ReviewVector DatabasesCI/CDMachine LearningLLMsRAGLLMOpsMLOpsA/B TestingForecastingResearchCommunication
About the role
- Supported by operating principles of being strategy-led, values -based and disciplined in execution, you'll be inspired, connected, developed and rewarded here.
- We hire you for who you are, and we want you to bring your authentic self to work every day!
- Please contact us to request accommodation.
Responsibilities
- Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments.
- Integrate and optimize LLMs for specific business planning use cases, 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 behavior.
- Collaborate with data scientists to productionise ML models and forecasting algorithms
Requirements
- End-to-end exposure in model lifecycle development, including extensive experience in training and deploying ML models in production environments.
- Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
- Experience in fine-tuning LLMs for domain-specific enterprise applications.
- Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments.
- Experience with agentic frameworks and autonomous agent architectures.
- Proficiency in Python and modern software development practices (testing, code review, CI/CD).
- Proven track record of delivering complex technical projects on time with high quality
- Hands-on experience with cloud-native ML infrastructure platforms
- Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models
- Experience with model serving frameworks (vLLM, TensorRT, Ray)
Benefits
- Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments.
- Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains.
- Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a strongly related quantitative field
Visa & Work Authorization
- less of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique
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This listing is sourced directly from Anaplan's careers page and normalized into a canonical job model.