Principal Machine Learning Engineer
Core
Building production-ready Generative AI and Machine Learning features for business planning workflows, integrating LLMs and agentic workflows into Anaplan's platform.
Role type
Principal Machine Learning Engineer (GenAI/LLM)
Builds
Production GenAI features, conversational interfaces, agentic workflows, and API services for business planning.
Domain
Enterprise SaaS / Business Planning / Generative AI
Deliverable
production ML models | product features
Required skills
LLM API integration, prompt engineering, RAG implementation, fine-tuning LLMs, MLOps/LLMOps, agentic frameworks, Python, CI/CD, model monitoring and evaluation.
Preferred skills
Cloud-native ML infrastructure, vector databases (Pinecone, Weaviate, Qdrant), model serving frameworks (vLLM, TensorRT, Ray), A/B testing frameworks, open-source ML contributions, model observability tools (LangSmith, W&B, MLflow).
Technologies
Python, LLM APIs, RAG, vLLM, TensorRT, Ray, Pinecone, Weaviate, Qdrant, LangSmith, W&B, MLflow
Responsibilities
Lead architecture and deployment of scalable GenAI systems; Develop end-to-end GenAI features including backend APIs and model monitoring; Integrate and optimize LLMs for business planning use cases; Build conversational interfaces and agentic workflows; Implement evaluation frameworks for GenAI quality; Design APIs for AI capabilities; Optimize model inference pipelines; Implement observability for GenAI systems; Collaborate with data scientists to productionize ML models.
Seniority
Principal, hands-on IC with strategy & mentorship