Principal Engineer - AI
Core
Lead the architecture, design, and deployment of scalable Generative AI and Machine Learning systems into production environments to empower business users to leverage GenAI within planning workflows.
Role type
Principal Engineer, AI (Hands-on IC)
Builds
Production-ready GenAI features, backend API services, conversational interfaces, and agentic workflows for business planning.
Domain
Enterprise SaaS / Business Planning / Generative AI
Deliverable
production ML models | product features
Required skills
End-to-end ML model lifecycle development, LLM API integration, prompt engineering, RAG implementation, MLOps/LLMOps, agentic frameworks, Python, CI/CD
Preferred skills
Fine-tuning LLMs for enterprise apps, cloud-native ML infrastructure, vector databases (Pinecone, Weaviate, Qdrant), model serving frameworks (vLLM, TensorRT, Ray), A/B testing frameworks, 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/ML 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 and third-party integrations; Optimize model inference pipelines for performance and cost; Collaborate with data scientists to productionize ML models.
Seniority
Principal, hands-on IC