Principal Engineer, AI
HiringAnaplan
India · RemoteFull-time· Today
Experience
0+ years
Work Type
Full-time
Core SkillsMust Have
Artificial IntelligenceMachine LearningLLM APIsPrompt EngineeringConversational AIFine-tuning LLMsMLOpsLLMOpsAgentic frameworksAutonomous agent architecturesPythonSoftware development practicesTestingCode reviewCI/CDML model lifecycleTraining ML modelsDeploying ML modelsRAG implementationModel inference optimizationBackend API developmentModel monitoringModel evaluation
What You'll Do
1Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments
2Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments
3Integrate and optimize LLMs for specific business planning use cases, including prompt engineering and RAG implementation
4Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language
5Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics
6Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations
7Optimize model inference pipelines for performance, cost, and scalability in production environments
8Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behavior
9Collaborate with data scientists to productionise ML models and forecasting algorithms
Requirements
Work AuthMust be authorized to work in the US
Nice to HaveOptional
Cloud-native ML infrastructure platformsVector databases (Pinecone, Weaviate, Qdrant)Embedding modelsModel serving frameworks (vLLM, TensorRT, Ray)A/B testingExperimentation frameworks for AI featuresOpen-source ML contributionsResearch publicationsModel observability tools (LangSmith, W&B, MLflow)