Engineer III , Backend Gen AI
Core
Build production-ready GenAI features and conversational interfaces for business planning workflows, integrating LLMs and agentic workflows into Anaplan's platform.
Role type
Senior GenAI Engineer (Full-stack ML)
Builds
End-to-end GenAI applications, backend APIs, and user-facing conversational interfaces for enterprise planning.
Domain
Enterprise SaaS / Business Planning / Generative AI
Deliverable
production ML models | product features
Required skills
Python, PyTorch, TensorFlow, Transformers, React, TypeScript, RESTful API design, microservices, cloud infrastructure, prompt engineering, RAG systems, NLP, time-series analysis, Docker, Kubernetes, CI/CD
Preferred skills
LangChain, LlamaIndex, Haystack, vector databases (Pinecone, Weaviate, Qdrant), embedding models, vLLM, TensorRT, Ray, A/B testing frameworks, model observability tools (LangSmith, W&B, MLflow)
Technologies
Python, React, TypeScript, PyTorch, TensorFlow, Transformers, Docker, Kubernetes, Pinecone, Weaviate, Qdrant, vLLM, TensorRT, Ray, LangSmith, W&B, MLflow
Responsibilities
Develop end-to-end GenAI features including backend API services, model integration, and deployments; Integrate and optimize LLMs for business planning use cases; Build conversational interfaces and agentic workflows; Implement evaluation frameworks for GenAI quality; Design and develop APIs for AI capabilities; Optimize model inference pipelines for performance and scalability; Implement monitoring and observability for GenAI systems; Collaborate with data scientists to productionize ML models; Write comprehensive tests including unit, integration, and prompt regression suites.
Seniority
Senior, hands-on IC