Senior Applied AI Engineer
Core
Design and build agentic workflows for multi-step AI-driven app generation, improving LLM reasoning and retrieval to enhance a visual AI app builder.
Role type
Senior Applied AI Engineer (LLM & Agentic Workflows)
Builds
Production LLM pipelines, agentic workflows, and AI-powered development features for a visual app builder platform.
Domain
AI/ML, Software Development, Low-code/No-code platforms
Deliverable
production ML models
Required skills
LLM-powered feature shipping, agentic AI workflows, RAG and context engineering, transformer models, embeddings, Python, TypeScript/Node.js, Hugging Face, LangChain
Preferred skills
Mastra, prompt engineering, evaluation frameworks, latency optimization
Technologies
Python, TypeScript, Node.js, Rust, AWS, CDK, Terraform, ECS, Redis, Postgres, OpenAI, Anthropic, LangChain
Responsibilities
Design agentic workflows for multi-step AI app generation; Improve LLM reasoning and retrieval techniques; Build and maintain production LLM pipelines; Fine-tune and optimize LLMs for app-building workflows; Own AI feature quality end-to-end; Collaborate with Product, Infrastructure, and Research teams.
Seniority
Senior, hands-on IC
